
import rpy2.robjects as robjects
from rpy2.robjects.packages import importr
from rpy2.robjects import pandas2ri,r,numpy2ri
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import GEOparse
import seaborn as sns
import scipy.cluster.hierarchy as sch
from sklearn.decomposition import PCA
import scipy.stats as pystats
from rpy2.robjects.vectors import StrVector
import multiprocessing


# Load required R packages
WGCNA = importr("WGCNA")
DESeq2 = importr("DESeq2")
stats = importr("stats")
base = importr('base')


# Allow multi-threading
WGCNA.allowWGCNAThreads()

Allowing multi-threading with up to 12 threads.


data = pd.read_csv("E:/ASEB/2nd Year/4th/Bio/End Sems/GSE36961_non-normalized.txt", sep="\t").T
data.columns = data.iloc[0]
data = data[:].T
data = data.drop(data.filter(like='Pval').columns, axis=1)

# Display the resulting DataFrame
data.head()


geo_id = "GSE36961"
gse = GEOparse.get_GEO(geo_id, destdir="./")
phenoData = pd.DataFrame(gse.phenotype_data)
phenoData = phenoData.iloc[:,[0,1,13,10,27]]

pd.options.display.max_columns = None
phenoData['title'] = data.columns[1:]
phenoData['characteristics_ch1.3.disease state'].fillna('Healthy',inplace = True)
phenoData.columns = phenoData.columns.str.replace('characteristics_ch1.3.', '')
phenoData.columns = phenoData.columns.str.replace('characteristics_ch1.0.', '')
phenoData

28-Jun-2023 11:29:47 DEBUG utils - Directory ./ already exists. Skipping.
28-Jun-2023 11:29:47 INFO GEOparse - File already exist: using local version.
28-Jun-2023 11:29:47 INFO GEOparse - Parsing ./GSE36961_family.soft.gz: 
28-Jun-2023 11:29:47 DEBUG GEOparse - DATABASE: GeoMiame
28-Jun-2023 11:29:47 DEBUG GEOparse - SERIES: GSE36961
28-Jun-2023 11:29:47 DEBUG GEOparse - PLATFORM: GPL15389
28-Jun-2023 11:29:47 DEBUG GEOparse - SAMPLE: GSM907203
28-Jun-2023 11:29:47 DEBUG GEOparse - SAMPLE: GSM907204
28-Jun-2023 11:29:47 DEBUG GEOparse - SAMPLE: GSM907205
28-Jun-2023 11:29:47 DEBUG GEOparse - SAMPLE: GSM907206
28-Jun-2023 11:29:48 DEBUG GEOparse - SAMPLE: GSM907207
28-Jun-2023 11:29:48 DEBUG GEOparse - SAMPLE: GSM907208
28-Jun-2023 11:29:48 DEBUG GEOparse - SAMPLE: GSM907209
28-Jun-2023 11:29:48 DEBUG GEOparse - SAMPLE: GSM907210
28-Jun-2023 11:29:48 DEBUG GEOparse - SAMPLE: GSM907211
28-Jun-2023 11:29:48 DEBUG GEOparse - SAMPLE: GSM907212
28-Jun-2023 11:29:48 DEBUG GEOparse - SAMPLE: GSM907213
28-Jun-2023 11:29:48 DEBUG GEOparse - SAMPLE: GSM907214
28-Jun-2023 11:29:48 DEBUG GEOparse - SAMPLE: GSM907215
28-Jun-2023 11:29:48 DEBUG GEOparse - SAMPLE: GSM907216
28-Jun-2023 11:29:49 DEBUG GEOparse - SAMPLE: GSM907217
28-Jun-2023 11:29:49 DEBUG GEOparse - SAMPLE: GSM907218
28-Jun-2023 11:29:49 DEBUG GEOparse - SAMPLE: GSM907219
28-Jun-2023 11:29:49 DEBUG GEOparse - SAMPLE: GSM907220
28-Jun-2023 11:29:49 DEBUG GEOparse - SAMPLE: GSM907221
28-Jun-2023 11:29:49 DEBUG GEOparse - SAMPLE: GSM907222
28-Jun-2023 11:29:49 DEBUG GEOparse - SAMPLE: GSM907223
28-Jun-2023 11:29:49 DEBUG GEOparse - SAMPLE: GSM907224
28-Jun-2023 11:29:49 DEBUG GEOparse - SAMPLE: GSM907225
28-Jun-2023 11:29:49 DEBUG GEOparse - SAMPLE: GSM907226
28-Jun-2023 11:29:50 DEBUG GEOparse - SAMPLE: GSM907227
28-Jun-2023 11:29:50 DEBUG GEOparse - SAMPLE: GSM907228
28-Jun-2023 11:29:50 DEBUG GEOparse - SAMPLE: GSM907229
28-Jun-2023 11:29:50 DEBUG GEOparse - SAMPLE: GSM907230
28-Jun-2023 11:29:50 DEBUG GEOparse - SAMPLE: GSM907231
28-Jun-2023 11:29:50 DEBUG GEOparse - SAMPLE: GSM907232
28-Jun-2023 11:29:50 DEBUG GEOparse - SAMPLE: GSM907233
28-Jun-2023 11:29:50 DEBUG GEOparse - SAMPLE: GSM907234
28-Jun-2023 11:29:50 DEBUG GEOparse - SAMPLE: GSM907235
28-Jun-2023 11:29:50 DEBUG GEOparse - SAMPLE: GSM907236
28-Jun-2023 11:29:51 DEBUG GEOparse - SAMPLE: GSM907237
28-Jun-2023 11:29:51 DEBUG GEOparse - SAMPLE: GSM907238
28-Jun-2023 11:29:51 DEBUG GEOparse - SAMPLE: GSM907239
28-Jun-2023 11:29:51 DEBUG GEOparse - SAMPLE: GSM907240
28-Jun-2023 11:29:51 DEBUG GEOparse - SAMPLE: GSM907241
28-Jun-2023 11:29:51 DEBUG GEOparse - SAMPLE: GSM907242
28-Jun-2023 11:29:51 DEBUG GEOparse - SAMPLE: GSM907243
28-Jun-2023 11:29:51 DEBUG GEOparse - SAMPLE: GSM907244
28-Jun-2023 11:29:51 DEBUG GEOparse - SAMPLE: GSM907245
28-Jun-2023 11:29:52 DEBUG GEOparse - SAMPLE: GSM907246
28-Jun-2023 11:29:52 DEBUG GEOparse - SAMPLE: GSM907247
28-Jun-2023 11:29:52 DEBUG GEOparse - SAMPLE: GSM907248
28-Jun-2023 11:29:52 DEBUG GEOparse - SAMPLE: GSM907249
28-Jun-2023 11:29:52 DEBUG GEOparse - SAMPLE: GSM907250
28-Jun-2023 11:29:52 DEBUG GEOparse - SAMPLE: GSM907251
28-Jun-2023 11:29:52 DEBUG GEOparse - SAMPLE: GSM907252
28-Jun-2023 11:29:52 DEBUG GEOparse - SAMPLE: GSM907253
28-Jun-2023 11:29:52 DEBUG GEOparse - SAMPLE: GSM907254
28-Jun-2023 11:29:52 DEBUG GEOparse - SAMPLE: GSM907255
28-Jun-2023 11:29:53 DEBUG GEOparse - SAMPLE: GSM907256
28-Jun-2023 11:29:53 DEBUG GEOparse - SAMPLE: GSM907257
28-Jun-2023 11:29:53 DEBUG GEOparse - SAMPLE: GSM907258
28-Jun-2023 11:29:53 DEBUG GEOparse - SAMPLE: GSM907259
28-Jun-2023 11:29:53 DEBUG GEOparse - SAMPLE: GSM907260
28-Jun-2023 11:29:53 DEBUG GEOparse - SAMPLE: GSM907261
28-Jun-2023 11:29:53 DEBUG GEOparse - SAMPLE: GSM907262
28-Jun-2023 11:29:53 DEBUG GEOparse - SAMPLE: GSM907263
28-Jun-2023 11:29:53 DEBUG GEOparse - SAMPLE: GSM907264
28-Jun-2023 11:29:54 DEBUG GEOparse - SAMPLE: GSM907265
28-Jun-2023 11:29:54 DEBUG GEOparse - SAMPLE: GSM907266
28-Jun-2023 11:29:54 DEBUG GEOparse - SAMPLE: GSM907267
28-Jun-2023 11:29:54 DEBUG GEOparse - SAMPLE: GSM907268
28-Jun-2023 11:29:54 DEBUG GEOparse - SAMPLE: GSM907269
28-Jun-2023 11:29:54 DEBUG GEOparse - SAMPLE: GSM907270
28-Jun-2023 11:29:54 DEBUG GEOparse - SAMPLE: GSM907271
28-Jun-2023 11:29:54 DEBUG GEOparse - SAMPLE: GSM907272
28-Jun-2023 11:29:54 DEBUG GEOparse - SAMPLE: GSM907273
28-Jun-2023 11:29:55 DEBUG GEOparse - SAMPLE: GSM907274
28-Jun-2023 11:29:55 DEBUG GEOparse - SAMPLE: GSM907275
28-Jun-2023 11:29:55 DEBUG GEOparse - SAMPLE: GSM907276
28-Jun-2023 11:29:55 DEBUG GEOparse - SAMPLE: GSM907277
28-Jun-2023 11:29:55 DEBUG GEOparse - SAMPLE: GSM907278
28-Jun-2023 11:29:55 DEBUG GEOparse - SAMPLE: GSM907279
28-Jun-2023 11:29:55 DEBUG GEOparse - SAMPLE: GSM907280
28-Jun-2023 11:29:55 DEBUG GEOparse - SAMPLE: GSM907281
28-Jun-2023 11:29:55 DEBUG GEOparse - SAMPLE: GSM907282
28-Jun-2023 11:29:55 DEBUG GEOparse - SAMPLE: GSM907283
28-Jun-2023 11:29:56 DEBUG GEOparse - SAMPLE: GSM907284
28-Jun-2023 11:29:56 DEBUG GEOparse - SAMPLE: GSM907285
28-Jun-2023 11:29:56 DEBUG GEOparse - SAMPLE: GSM907286
28-Jun-2023 11:29:56 DEBUG GEOparse - SAMPLE: GSM907287
28-Jun-2023 11:29:56 DEBUG GEOparse - SAMPLE: GSM907288
28-Jun-2023 11:29:56 DEBUG GEOparse - SAMPLE: GSM907289
28-Jun-2023 11:29:56 DEBUG GEOparse - SAMPLE: GSM907290
28-Jun-2023 11:29:56 DEBUG GEOparse - SAMPLE: GSM907291
28-Jun-2023 11:29:56 DEBUG GEOparse - SAMPLE: GSM907292
28-Jun-2023 11:29:56 DEBUG GEOparse - SAMPLE: GSM907293
28-Jun-2023 11:29:56 DEBUG GEOparse - SAMPLE: GSM907294
28-Jun-2023 11:29:57 DEBUG GEOparse - SAMPLE: GSM907295
28-Jun-2023 11:29:57 DEBUG GEOparse - SAMPLE: GSM907296
28-Jun-2023 11:29:57 DEBUG GEOparse - SAMPLE: GSM907297
28-Jun-2023 11:29:57 DEBUG GEOparse - SAMPLE: GSM907298
28-Jun-2023 11:29:57 DEBUG GEOparse - SAMPLE: GSM907299
28-Jun-2023 11:29:57 DEBUG GEOparse - SAMPLE: GSM907300
28-Jun-2023 11:29:57 DEBUG GEOparse - SAMPLE: GSM907301
28-Jun-2023 11:29:57 DEBUG GEOparse - SAMPLE: GSM907302
28-Jun-2023 11:29:57 DEBUG GEOparse - SAMPLE: GSM907303
28-Jun-2023 11:29:57 DEBUG GEOparse - SAMPLE: GSM907304
28-Jun-2023 11:29:58 DEBUG GEOparse - SAMPLE: GSM907305
28-Jun-2023 11:29:58 DEBUG GEOparse - SAMPLE: GSM907306
28-Jun-2023 11:29:58 DEBUG GEOparse - SAMPLE: GSM907307
28-Jun-2023 11:29:58 DEBUG GEOparse - SAMPLE: GSM907308
28-Jun-2023 11:29:58 DEBUG GEOparse - SAMPLE: GSM907309
28-Jun-2023 11:29:58 DEBUG GEOparse - SAMPLE: GSM907310
28-Jun-2023 11:29:58 DEBUG GEOparse - SAMPLE: GSM907311
28-Jun-2023 11:29:58 DEBUG GEOparse - SAMPLE: GSM907312
28-Jun-2023 11:29:58 DEBUG GEOparse - SAMPLE: GSM907313
28-Jun-2023 11:29:58 DEBUG GEOparse - SAMPLE: GSM907314
28-Jun-2023 11:29:59 DEBUG GEOparse - SAMPLE: GSM907315
28-Jun-2023 11:29:59 DEBUG GEOparse - SAMPLE: GSM907316
28-Jun-2023 11:29:59 DEBUG GEOparse - SAMPLE: GSM907317
28-Jun-2023 11:29:59 DEBUG GEOparse - SAMPLE: GSM907318
28-Jun-2023 11:29:59 DEBUG GEOparse - SAMPLE: GSM907319
28-Jun-2023 11:29:59 DEBUG GEOparse - SAMPLE: GSM907320
28-Jun-2023 11:29:59 DEBUG GEOparse - SAMPLE: GSM907321
28-Jun-2023 11:29:59 DEBUG GEOparse - SAMPLE: GSM907322
28-Jun-2023 11:29:59 DEBUG GEOparse - SAMPLE: GSM907323
28-Jun-2023 11:29:59 DEBUG GEOparse - SAMPLE: GSM907324
28-Jun-2023 11:29:59 DEBUG GEOparse - SAMPLE: GSM907325
28-Jun-2023 11:30:00 DEBUG GEOparse - SAMPLE: GSM907326
28-Jun-2023 11:30:00 DEBUG GEOparse - SAMPLE: GSM907327
28-Jun-2023 11:30:00 DEBUG GEOparse - SAMPLE: GSM907328
28-Jun-2023 11:30:00 DEBUG GEOparse - SAMPLE: GSM907329
28-Jun-2023 11:30:00 DEBUG GEOparse - SAMPLE: GSM907330
28-Jun-2023 11:30:00 DEBUG GEOparse - SAMPLE: GSM907331
28-Jun-2023 11:30:00 DEBUG GEOparse - SAMPLE: GSM907332
28-Jun-2023 11:30:00 DEBUG GEOparse - SAMPLE: GSM907333
28-Jun-2023 11:30:00 DEBUG GEOparse - SAMPLE: GSM907334
28-Jun-2023 11:30:00 DEBUG GEOparse - SAMPLE: GSM907335
28-Jun-2023 11:30:01 DEBUG GEOparse - SAMPLE: GSM907336
28-Jun-2023 11:30:01 DEBUG GEOparse - SAMPLE: GSM907337
28-Jun-2023 11:30:01 DEBUG GEOparse - SAMPLE: GSM907338
28-Jun-2023 11:30:01 DEBUG GEOparse - SAMPLE: GSM907339
28-Jun-2023 11:30:01 DEBUG GEOparse - SAMPLE: GSM907340
28-Jun-2023 11:30:01 DEBUG GEOparse - SAMPLE: GSM907341
28-Jun-2023 11:30:01 DEBUG GEOparse - SAMPLE: GSM907342
28-Jun-2023 11:30:01 DEBUG GEOparse - SAMPLE: GSM907343
28-Jun-2023 11:30:01 DEBUG GEOparse - SAMPLE: GSM907344
28-Jun-2023 11:30:01 DEBUG GEOparse - SAMPLE: GSM907345
28-Jun-2023 11:30:01 DEBUG GEOparse - SAMPLE: GSM907346
28-Jun-2023 11:30:02 DEBUG GEOparse - SAMPLE: GSM907347
C:\Users\Prahas\AppData\Local\Temp\ipykernel_35852\1477630121.py:9: FutureWarning: The default value of regex will change from True to False in a future version.
  phenoData.columns = phenoData.columns.str.replace('characteristics_ch1.3.', '')
C:\Users\Prahas\AppData\Local\Temp\ipykernel_35852\1477630121.py:10: FutureWarning: The default value of regex will change from True to False in a future version.
  phenoData.columns = phenoData.columns.str.replace('characteristics_ch1.0.', '')


# Prepare data
data = pd.melt(data, id_vars='ID_REF', var_name='samples', value_name='counts')
data['samples'] = data['samples'].str.replace(',', '-', regex=False)
data = data.merge(phenoData, left_on='samples', right_on='title')
data = data[['ID_REF', 'geo_accession', 'counts']].pivot(index='ID_REF', columns='geo_accession', values='counts')
pd.options.display.max_rows = None
data = data.astype(float)

data.head()


# Convert data to R dataframe
pandas2ri.activate()
data_r = pandas2ri.py2rpy(data)


# 2. QC - Outlier detection -------------------------------------
# Detect outlier genes
gsg = WGCNA.goodSamplesGenes(data_r)
gsg_summary = robjects.r['summary'](gsg)
gsg_allOK = np.array(gsg_summary)[0] if len(gsg_summary) > 0 else None
print("allOK Samples: ",gsg_allOK)
gsg_r = robjects.conversion.py2rpy(gsg)

 Flagging genes and samples with too many missing values...
  ..step 1

  ..step 1
allOK Samples:    145


# Get 'goodGenes' and 'goodSamples' tables
gsg_goodGenes_table = pd.DataFrame(robjects.r['table'](gsg_r.rx2('goodGenes')))
gsg_goodSamples_table = pd.DataFrame(robjects.r['table'](gsg_r.rx2('goodSamples')))


# Filter data using goodGenes
goodGenes = robjects.vectors.BoolVector(gsg_goodGenes_table[0])
data_r = data_r.rx(goodGenes, True)
# Convert data_r_filtered back to a pandas DataFrame
data = pd.DataFrame(robjects.conversion.rpy2py(data_r))
data.head()


# Detect outlier samples - hierarchical clustering
distance_matrix = sch.distance.pdist(data.T, metric='correlation')
htree = sch.linkage(distance_matrix, method='average')
dendrogram = sch.dendrogram(htree)
plt.title('Hierarchical Clustering Dendrogram')
plt.xlabel('Samples')
plt.ylabel('Distance')
plt.show()


# Perform PCA
pca = PCA()
pca_result = pca.fit_transform(data.T)

# Access PCA results
pca_dat = pd.DataFrame(pca_result, columns=['PC{}'.format(i+1) for i in range(pca_result.shape[1])])

# Calculate the explained variance ratio
explained_variance_ratio = pca.explained_variance_ratio_

# Plot PCA with labels
plt.figure(figsize=(10, 6))
plt.scatter(pca_dat['PC1'], pca_dat['PC2'])

# Add labels to the scatter plot
for i, (x, y) in enumerate(zip(pca_dat['PC1'], pca_dat['PC2'])):
    plt.text(x, y, data.columns[i], fontsize=8)

plt.xlabel('PC1 ({}% explained variance)'.format(round(explained_variance_ratio[0] * 100, 2)))
plt.ylabel('PC2 ({}% explained variance)'.format(round(explained_variance_ratio[1] * 100, 2)))
plt.title('PCA')
plt.show()


# Exclude outlier samples
samples_to_be_excluded = ['GSM907278', 'GSM907302', 'GSM907243','GSM907310','GSM907228']
data_subset = data.loc[:, ~data.columns.isin(samples_to_be_excluded)]
data_subset.head()


# 3. Normalization ----------------------------------------------
# Create DESeq2 dataset

# Exclude outlier samples from colData
colData = phenoData[~phenoData.index.isin(samples_to_be_excluded)]
colData.columns = [name.replace(' ', '_') for name in colData.columns]
colData.columns = colData.columns.astype(str)
colData


# Create DESeqDataSet
data_subset = data_subset.astype(int)
dds = DESeq2.DESeqDataSetFromMatrix(countData=data_subset,
                                    colData=colData,
                                    design=robjects.Formula("~1"))


# Remove genes with counts < 15 in more than 75% of samples
counts = np.array(robjects.r['counts'](dds))
counts_rowsums = robjects.r['rowSums'](counts)
dds75 = robjects.r('subset')(dds, subset=(counts_rowsums >= 24))
row_dds75 = robjects.r['nrow'](dds75)[0]
print(row_dds75)

37846


# Perform variance stabilization with a specified fit type
dds_norm = DESeq2.vst(dds75, fitType='local')  # or fitType='mean'


# Get normalized counts
assay_data = robjects.r['assay'](dds_norm)
norm_counts = pd.DataFrame(list(assay_data.T))
norm_counts.index = robjects.r['colnames'](dds_norm)
norm_counts.columns = robjects.r['rownames'](dds_norm)
norm_counts.head()


# 4. Network Construction ----------------------------------------
# Choose a set of soft-thresholding powers
power = robjects.FloatVector(list(range(1, 11)) + list(range(12, 51, 2)))
power


# Call the network topology analysis function
sft = WGCNA.pickSoftThreshold(norm_counts,
                              powerVector=power,
                              networkType="signed",
                              verbose=5)
sft_data = pandas2ri.rpy2py_dataframe(sft.rx('fitIndices')[0])

pickSoftThreshold: will use block size 1182.
 pickSoftThreshold: calculating connectivity for given powers...
   ..working on genes 1 through 1182 of 37846
 pickSoftThreshold: calculating connectivity for given powers...
   ..working on genes 1 through 1182 of 37846
   ..working on genes 1183 through 2364 of 37846
   ..working on genes 2365 through 3546 of 37846
   ..working on genes 3547 through 4728 of 37846
   ..working on genes 4729 through 5910 of 37846
   ..working on genes 5911 through 7092 of 37846
   ..working on genes 7093 through 8274 of 37846
   ..working on genes 8275 through 9456 of 37846
   ..working on genes 9457 through 10638 of 37846
   ..working on genes 10639 through 11820 of 37846
   ..working on genes 11821 through 13002 of 37846
   ..working on genes 13003 through 14184 of 37846
   ..working on genes 14185 through 15366 of 37846
   ..working on genes 15367 through 16548 of 37846
   ..working on genes 16549 through 17730 of 37846
   ..working on genes 17731 through 18912 of 37846
   ..working on genes 18913 through 20094 of 37846
   ..working on genes 20095 through 21276 of 37846
   ..working on genes 21277 through 22458 of 37846
   ..working on genes 22459 through 23640 of 37846
   ..working on genes 23641 through 24822 of 37846
   ..working on genes 24823 through 26004 of 37846
   ..working on genes 26005 through 27186 of 37846
   ..working on genes 27187 through 28368 of 37846
   ..working on genes 28369 through 29550 of 37846
   ..working on genes 29551 through 30732 of 37846
   ..working on genes 30733 through 31914 of 37846
   ..working on genes 31915 through 33096 of 37846
   ..working on genes 33097 through 34278 of 37846
   ..working on genes 34279 through 35460 of 37846
   ..working on genes 35461 through 36642 of 37846
   ..working on genes 36643 through 37824 of 37846
   ..working on genes 37825 through 37846 of 37846
   Power SFT.R.sq  slope truncated.R.sq  mean.k. median.k.  max.k.
1      1  0.00321 -19.30          0.991 1.89e+04  1.89e+04 19200.0
2      2  0.48500 -16.30          0.809 1.00e+04  9.94e+03 11300.0
3      3  0.81800  -8.59          0.915 5.55e+03  5.42e+03  7590.0
4      4  0.83700  -5.14          0.901 3.21e+03  3.06e+03  5530.0
5      5  0.83900  -3.70          0.889 1.93e+03  1.77e+03  4240.0
6      6  0.83500  -2.99          0.880 1.21e+03  1.05e+03  3350.0
7      7  0.81100  -2.62          0.858 7.79e+02  6.30e+02  2720.0
8      8  0.79000  -2.39          0.842 5.18e+02  3.84e+02  2240.0
9      9  0.77100  -2.26          0.834 3.55e+02  2.37e+02  1870.0
10    10  0.77100  -2.14          0.841 2.49e+02  1.47e+02  1570.0
11    12  0.73500  -2.01          0.834 1.32e+02  5.87e+01  1140.0
12    14  0.71700  -1.91          0.863 7.52e+01  2.40e+01   855.0
13    16  0.69400  -1.85          0.891 4.57e+01  9.98e+00   652.0
14    18  0.70200  -1.79          0.920 2.92e+01  4.23e+00   506.0
15    20  0.69200  -1.81          0.940 1.93e+01  1.83e+00   399.0
16    22  0.70300  -1.81          0.955 1.32e+01  8.02e-01   318.0
17    24  0.72300  -1.81          0.969 9.25e+00  3.57e-01   256.0
18    26  0.73300  -1.84          0.971 6.61e+00  1.61e-01   208.0
19    28  0.74800  -1.85          0.977 4.80e+00  7.33e-02   170.0
20    30  0.76400  -1.86          0.982 3.54e+00  3.38e-02   141.0
21    32  0.76800  -1.88          0.978 2.65e+00  1.57e-02   117.0
22    34  0.42600  -2.41          0.538 2.00e+00  7.38e-03    97.6
23    36  0.43300  -2.40          0.544 1.53e+00  3.50e-03    81.9
24    38  0.44000  -2.40          0.549 1.19e+00  1.68e-03    69.1
25    40  0.44500  -2.38          0.553 9.25e-01  8.12e-04    58.6
26    42  0.44900  -2.36          0.554 7.28e-01  3.98e-04    49.8
27    44  0.45200  -2.34          0.555 5.78e-01  1.96e-04    42.5
28    46  0.45400  -2.32          0.554 4.62e-01  9.67e-05    36.4
29    48  0.44900  -2.27          0.541 3.73e-01  4.80e-05    31.3
30    50  0.44500  -2.23          0.523 3.03e-01  2.41e-05    27.0


# Visualization to pick power using matplotlib and seaborn
plt.figure(figsize=(10, 8))
plt.subplot(2, 1, 1)
sns.scatterplot(data=sft_data, x='Power', y='SFT.R.sq', label='Power')
for index, row in sft_data.iterrows():
    plt.text(row['Power'], row['SFT.R.sq'], str(row['Power']), ha='center', va='bottom')
plt.axhline(y=0.8, color='red')
plt.xlabel('Power')
plt.ylabel('Scale free topology model fit, signed R^2')

plt.subplot(2, 1, 2)
sns.scatterplot(data=sft_data, x='Power', y='mean.k.', label='Power')
for index, row in sft_data.iterrows():
    plt.text(row['Power'], row['mean.k.'], str(row['Power']), ha='center', va='bottom')
plt.xlabel('Power')
plt.ylabel('Mean Connectivity')

plt.tight_layout()
plt.show()


norm_counts = norm_counts.astype(float)


soft_power = 9
temp_cor = robjects.r['cor']
robjects.globalenv["cor"] = WGCNA.cor

# Memory estimate with respect to blocksize
bwnet = WGCNA.blockwiseModules(norm_counts,
                               maxBlockSize=4000,
                               TOMType="signed",
                               power=soft_power,
                               mergeCutHeight=0.25,
                               numericLabels=False,
                               randomSeed=1234,
                               verbose=3,
                               weights_x=robjects.NULL,
                               weights_y=robjects.NULL,
                               cosine=False)

robjects.globalenv["cor"] = stats.cor

 Calculating module eigengenes block-wise from all genes

   Flagging genes and samples with too many missing values...
    ..step 1
 ....pre-clustering genes to determine blocks..
   Projective K-means:
   ..k-means clustering..
   ..merging smaller clusters...
Block sizes:
gBlocks
   1    2    3    4    5    6    7    8    9   10 
4000 4000 3999 3998 3997 3996 3996 3996 3292 2572 
 ..Working on block 1 .
    TOM calculation: adjacency..
    ..will not use multithreading.
     Fraction of slow calculations: 0.000000
    ..connectivity..
    ..matrix multiplication (system BLAS)..
    ..normalization..
    ..done.
 ....clustering..
 ....detecting modules..
 ....calculating module eigengenes..
 ....checking kME in modules..
 ..Working on block 2 .
    TOM calculation: adjacency..
    ..will not use multithreading.
     Fraction of slow calculations: 0.000000
    ..connectivity..
    ..matrix multiplication (system BLAS)..
    ..normalization..
    ..done.
 ....clustering..
 ....detecting modules..
 No modules detected in block 2
 ..Working on block 3 .
    TOM calculation: adjacency..
    ..will not use multithreading.
     Fraction of slow calculations: 0.000000
    ..connectivity..
    ..matrix multiplication (system BLAS)..
    ..normalization..
    ..done.
 ....clustering..
 ....detecting modules..
 ....calculating module eigengenes..
 ....checking kME in modules..
 ..Working on block 4 .
    TOM calculation: adjacency..
    ..will not use multithreading.
     Fraction of slow calculations: 0.000000
    ..connectivity..
    ..matrix multiplication (system BLAS)..
    ..normalization..
    ..done.
 ....clustering..
 ....detecting modules..
 ....calculating module eigengenes..
 ....checking kME in modules..
 ..Working on block 5 .
    TOM calculation: adjacency..
    ..will not use multithreading.
     Fraction of slow calculations: 0.000000
    ..connectivity..
    ..matrix multiplication (system BLAS)..
    ..normalization..
    ..done.
 ....clustering..
 ....detecting modules..
 ....calculating module eigengenes..
 ....checking kME in modules..
 ..Working on block 6 .
    TOM calculation: adjacency..
    ..will not use multithreading.
     Fraction of slow calculations: 0.000000
    ..connectivity..
    ..matrix multiplication (system BLAS)..
    ..normalization..
    ..done.
 ....clustering..
 ....detecting modules..
 ....calculating module eigengenes..
 ....checking kME in modules..
 ..Working on block 7 .
    TOM calculation: adjacency..
    ..will not use multithreading.
     Fraction of slow calculations: 0.000000
    ..connectivity..
    ..matrix multiplication (system BLAS)..
    ..normalization..
    ..done.
 ....clustering..
 ....detecting modules..
 ....calculating module eigengenes..
 ....checking kME in modules..
 ..Working on block 8 .
    TOM calculation: adjacency..
    ..will not use multithreading.
     Fraction of slow calculations: 0.000000
    ..connectivity..
    ..matrix multiplication (system BLAS)..
    ..normalization..
    ..done.
 ....clustering..
 ....detecting modules..
 ....calculating module eigengenes..
 ....checking kME in modules..
     ..removing 1 genes from module 2 because their KME is too low.
 ..Working on block 9 .
    TOM calculation: adjacency..
    ..will not use multithreading.
     Fraction of slow calculations: 0.000000
    ..connectivity..
    ..matrix multiplication (system BLAS)..
    ..normalization..
    ..done.
 ....clustering..
 ....detecting modules..
 ....calculating module eigengenes..
 ....checking kME in modules..
 ..Working on block 10 .
    TOM calculation: adjacency..
    ..will not use multithreading.
     Fraction of slow calculations: 0.000000
    ..connectivity..
    ..matrix multiplication (system BLAS)..
    ..normalization..
    ..done.
 ....clustering..
 ....detecting modules..
 ....calculating module eigengenes..
 ....checking kME in modules..
  ..reassigning 7 genes from module 1 to modules with higher KME.
  ..reassigning 101 genes from module 2 to modules with higher KME.
  ..reassigning 46 genes from module 3 to modules with higher KME.
  ..reassigning 21 genes from module 4 to modules with higher KME.
  ..reassigning 39 genes from module 5 to modules with higher KME.
  ..reassigning 3 genes from module 6 to modules with higher KME.
  ..reassigning 3 genes from module 7 to modules with higher KME.
  ..reassigning 1 genes from module 8 to modules with higher KME.
  ..reassigning 1 genes from module 9 to modules with higher KME.
  ..reassigning 2 genes from module 10 to modules with higher KME.
  ..reassigning 248 genes from module 12 to modules with higher KME.
  ..reassigning 150 genes from module 13 to modules with higher KME.
  ..reassigning 85 genes from module 14 to modules with higher KME.
  ..reassigning 41 genes from module 15 to modules with higher KME.
  ..reassigning 22 genes from module 16 to modules with higher KME.
  ..reassigning 10 genes from module 17 to modules with higher KME.
  ..reassigning 9 genes from module 18 to modules with higher KME.
  ..reassigning 9 genes from module 19 to modules with higher KME.
  ..reassigning 12 genes from module 20 to modules with higher KME.
  ..reassigning 11 genes from module 21 to modules with higher KME.
  ..reassigning 5 genes from module 22 to modules with higher KME.
  ..reassigning 1 genes from module 23 to modules with higher KME.
  ..reassigning 2 genes from module 24 to modules with higher KME.
  ..reassigning 1 genes from module 25 to modules with higher KME.
  ..reassigning 37 genes from module 27 to modules with higher KME.
  ..reassigning 17 genes from module 28 to modules with higher KME.
  ..reassigning 18 genes from module 29 to modules with higher KME.
  ..reassigning 1 genes from module 30 to modules with higher KME.
  ..reassigning 6 genes from module 31 to modules with higher KME.
  ..reassigning 1 genes from module 32 to modules with higher KME.
  ..reassigning 5 genes from module 33 to modules with higher KME.
  ..reassigning 6 genes from module 34 to modules with higher KME.
  ..reassigning 4 genes from module 35 to modules with higher KME.
  ..reassigning 1 genes from module 37 to modules with higher KME.
  ..reassigning 1 genes from module 38 to modules with higher KME.
  ..reassigning 84 genes from module 41 to modules with higher KME.
  ..reassigning 1 genes from module 42 to modules with higher KME.
  ..reassigning 1 genes from module 43 to modules with higher KME.
  ..reassigning 70 genes from module 44 to modules with higher KME.
  ..reassigning 44 genes from module 45 to modules with higher KME.
  ..reassigning 17 genes from module 46 to modules with higher KME.
  ..reassigning 16 genes from module 47 to modules with higher KME.
  ..reassigning 6 genes from module 48 to modules with higher KME.
  ..reassigning 6 genes from module 49 to modules with higher KME.
  ..reassigning 6 genes from module 50 to modules with higher KME.
  ..reassigning 3 genes from module 51 to modules with higher KME.
  ..reassigning 4 genes from module 52 to modules with higher KME.
  ..reassigning 2 genes from module 53 to modules with higher KME.
  ..reassigning 1 genes from module 54 to modules with higher KME.
  ..reassigning 4 genes from module 55 to modules with higher KME.
  ..reassigning 3 genes from module 56 to modules with higher KME.
  ..reassigning 22 genes from module 57 to modules with higher KME.
  ..reassigning 8 genes from module 58 to modules with higher KME.
  ..reassigning 2 genes from module 59 to modules with higher KME.
  ..reassigning 1 genes from module 63 to modules with higher KME.
  ..reassigning 2 genes from module 64 to modules with higher KME.
  ..reassigning 14 genes from module 69 to modules with higher KME.
 ..merging modules that are too close..
     mergeCloseModules: Merging modules whose distance is less than 0.25
       Calculating new MEs...


module_eigengenes = pandas2ri.rpy2py_dataframe(bwnet.rx('MEs')[0])

# Print out a preview
print(module_eigengenes)

             MEblue  MEsalmon   MEblack  MEmagenta  MEyellow     MEred  \
GSM907203  0.120216  0.059357 -0.036169  -0.111018 -0.055154 -0.118290   
GSM907204  0.101528  0.060243 -0.003728  -0.095833 -0.072260  0.003435   
GSM907205  0.155804  0.047704 -0.105041  -0.188661 -0.129571 -0.172967   
GSM907206  0.127405 -0.097133 -0.034217  -0.079415 -0.070617 -0.080133   
GSM907207  0.118111  0.028828 -0.104389   0.028383 -0.069347 -0.062997   
GSM907208  0.164184  0.035015 -0.169196  -0.126540 -0.127925 -0.144333   
GSM907209  0.134502 -0.074897  0.026009  -0.004693 -0.070498 -0.063748   
GSM907210  0.102036  0.076705  0.062812  -0.002651 -0.020909 -0.021066   
GSM907211  0.023022  0.083172  0.118984   0.137181 -0.028052  0.086008   
GSM907212  0.079241 -0.098471 -0.140509  -0.020337 -0.054824 -0.027817   
GSM907213  0.097093 -0.077666 -0.014920  -0.024802 -0.086651 -0.045240   
GSM907214  0.082671 -0.075218  0.001891  -0.000297 -0.077840 -0.058664   
GSM907215  0.076956  0.052606 -0.039757  -0.111770 -0.063152 -0.038580   
GSM907216 -0.040213  0.105682  0.081841   0.023606 -0.008349  0.074836   
GSM907217  0.103052 -0.086586 -0.018735  -0.044082 -0.074142 -0.089111   
GSM907218  0.076730 -0.082112  0.118748   0.082065 -0.075105  0.033811   
GSM907219  0.151620 -0.076188 -0.107344  -0.055198 -0.128955 -0.023506   
GSM907220  0.172107  0.031923  0.028223  -0.025027 -0.135856 -0.101037   
GSM907221  0.065501 -0.093848 -0.032546  -0.059669 -0.046838 -0.080655   
GSM907222  0.078024  0.066220  0.078447   0.033646 -0.085233  0.041649   
GSM907223  0.074635 -0.072157 -0.149295  -0.121693 -0.093687 -0.106002   
GSM907224  0.062071  0.055798 -0.032819  -0.066154 -0.083421 -0.104124   
GSM907225  0.066562  0.039917  0.034737  -0.033802 -0.083303  0.023857   
GSM907226  0.091576  0.064508  0.110359   0.066264 -0.101120  0.016061   
GSM907227  0.056062 -0.089611  0.194443   0.197703 -0.082857  0.070418   
GSM907229  0.120939  0.040770 -0.094028  -0.111078 -0.115375 -0.120573   
GSM907230  0.054469  0.067883  0.099022   0.062374 -0.064328  0.057398   
GSM907231  0.036424 -0.094320  0.052722   0.043874 -0.071820  0.028562   
GSM907232  0.010021 -0.109867  0.152572   0.129509 -0.021470  0.062041   
GSM907233  0.000744 -0.097623  0.107998   0.111189  0.020775  0.020963   
GSM907234  0.074766  0.041222 -0.134130  -0.012387 -0.058801 -0.102208   
GSM907235  0.012175  0.081106  0.016542  -0.030208  0.015054  0.032663   
GSM907236  0.062523 -0.086588  0.015503   0.004350 -0.021589 -0.042078   
GSM907237  0.055860 -0.084716  0.011440   0.007984 -0.050007 -0.011972   
GSM907238  0.089207 -0.076595  0.018775  -0.060746 -0.049844  0.002941   
GSM907239  0.015292  0.073799  0.102841   0.097441 -0.013216  0.064284   
GSM907240  0.006674  0.098060  0.135412   0.142265  0.019774  0.067283   
GSM907241  0.046277 -0.102982  0.056768  -0.000921 -0.027176 -0.008517   
GSM907242  0.169889  0.043004 -0.166896  -0.202376 -0.123923 -0.217386   
GSM907244  0.024019  0.080654  0.061506   0.007542 -0.047770  0.007182   
GSM907245  0.069604 -0.067847 -0.036481  -0.084717 -0.066510 -0.072210   
GSM907246  0.005446  0.074304 -0.020917  -0.055988 -0.053946 -0.006771   
GSM907247  0.041223  0.063436 -0.085753  -0.136289 -0.068093 -0.144950   
GSM907248  0.071429  0.062581  0.060327   0.023376 -0.081446  0.008370   
GSM907249  0.069936  0.044905 -0.043010  -0.105141 -0.080108 -0.059765   
GSM907250  0.048054 -0.079400 -0.002935  -0.034458 -0.071747 -0.002656   
GSM907251  0.071914  0.039140 -0.090722  -0.116036 -0.056401 -0.177137   
GSM907252  0.091937 -0.067660 -0.156325  -0.077214 -0.115880 -0.059504   
GSM907253  0.031615 -0.095916  0.072995   0.026971 -0.051930  0.003608   
GSM907254  0.025286  0.079588 -0.076497  -0.018763 -0.087402 -0.056543   
GSM907255  0.056052  0.059875  0.028977   0.008763 -0.072414 -0.004607   
GSM907256  0.082172  0.053259 -0.070997  -0.109566 -0.058897 -0.151364   
GSM907257  0.071704  0.068725 -0.134666  -0.112065 -0.064411 -0.209999   
GSM907258  0.090483  0.050367 -0.047689  -0.114055 -0.062076 -0.061036   
GSM907259  0.102366  0.030703 -0.058400   0.102354 -0.053519  0.054578   
GSM907260  0.121053  0.051860 -0.087787  -0.097658 -0.062608 -0.141235   
GSM907261  0.096496 -0.066772 -0.054337  -0.101953 -0.058797 -0.084712   
GSM907262  0.050705  0.065752  0.081929   0.112487 -0.051343 -0.034638   
GSM907263  0.093541  0.055525  0.022045   0.005081 -0.052775 -0.064448   
GSM907264  0.126353 -0.080167  0.017308  -0.019385 -0.062669 -0.115053   
GSM907265 -0.017017 -0.073871 -0.083444  -0.122928 -0.010496 -0.008975   
GSM907266 -0.037613  0.077055 -0.103653  -0.064215  0.007710  0.027294   
GSM907267  0.005359 -0.092702 -0.114463  -0.046171 -0.040100 -0.086222   
GSM907268  0.007503 -0.078132 -0.032602  -0.068286 -0.031844 -0.001617   
GSM907269  0.038091  0.066553  0.035077  -0.013540 -0.046478  0.047084   
GSM907270  0.008138 -0.098399  0.088929   0.071663 -0.025055  0.018712   
GSM907271 -0.007710 -0.090179  0.104721   0.076715 -0.001661  0.056431   
GSM907272 -0.002729  0.068745  0.080664   0.251842 -0.023762  0.029737   
GSM907273  0.059075 -0.080863  0.042190   0.002691 -0.058805 -0.050399   
GSM907274  0.022103 -0.085916  0.069342   0.061112 -0.036935 -0.003217   
GSM907275  0.012551 -0.097369 -0.023625  -0.055066 -0.014256  0.013260   
GSM907276 -0.079411  0.120190  0.055845   0.063897  0.159652  0.018719   
GSM907277 -0.059877 -0.095474 -0.052316   0.019966  0.132599  0.041419   
GSM907279 -0.065498  0.089535 -0.141843   0.061238  0.117127  0.117049   
GSM907280 -0.125011 -0.113886  0.109495   0.094373  0.164148  0.109405   
GSM907281 -0.105116 -0.093920 -0.014579  -0.014496  0.125464  0.026482   
GSM907282 -0.114288 -0.104477 -0.019418  -0.018624  0.166712  0.091450   
GSM907283 -0.153564  0.138447  0.153049   0.128503  0.196895  0.190033   
GSM907284 -0.078768 -0.099729  0.055263   0.073768  0.104192  0.125820   
GSM907285 -0.109335  0.103468  0.028551   0.032708  0.154400  0.027558   
GSM907286 -0.095195  0.111360  0.060578   0.037643  0.157079  0.079587   
GSM907287 -0.056076  0.086664 -0.070618  -0.056879 -0.061023  0.036349   
GSM907288 -0.037036  0.078436 -0.078089  -0.108644 -0.092277 -0.019831   
GSM907289 -0.068194  0.076537  0.062091   0.051783 -0.032119  0.046842   
GSM907290 -0.089615  0.075491 -0.009097  -0.054826 -0.049235 -0.012625   
GSM907291 -0.032726  0.074306 -0.110929  -0.163761 -0.064360 -0.046050   
GSM907292 -0.021467  0.074744 -0.088316  -0.120584 -0.076557  0.041849   
GSM907293 -0.003659  0.040074 -0.125254   0.062325 -0.098485  0.028593   
GSM907294 -0.022947  0.067436 -0.052393  -0.062405 -0.074905 -0.064591   
GSM907295 -0.013798 -0.084844 -0.044932   0.100575 -0.081237  0.163666   
GSM907296 -0.068195 -0.112351 -0.013213  -0.009082 -0.025923  0.016787   
GSM907297 -0.123752  0.086504  0.038788   0.022143  0.031014  0.098242   
GSM907298 -0.086109  0.100413  0.074519   0.079217 -0.018142  0.091505   
GSM907299 -0.091590 -0.113344  0.009473   0.019108 -0.001568  0.031354   
GSM907300 -0.089748 -0.103895  0.115348   0.045042 -0.021391  0.215318   
GSM907301 -0.046539  0.068805 -0.089806   0.020386 -0.035940 -0.019000   
GSM907303 -0.037964 -0.099305  0.024285  -0.013409 -0.028387  0.022285   
GSM907304 -0.047824 -0.096345  0.028858   0.006611 -0.030702  0.070910   
GSM907305 -0.009521  0.053963 -0.120351   0.083400 -0.014015  0.200126   
GSM907306 -0.193178  0.124057 -0.002243  -0.008830  0.119323  0.037446   
GSM907307  0.036773  0.070067 -0.020889  -0.036288  0.029859 -0.109473   
GSM907308 -0.127272 -0.104209  0.068427   0.034690  0.153734  0.129348   
GSM907309 -0.094998  0.105088  0.133931   0.097714  0.116463  0.105331   
GSM907311 -0.111122 -0.093158 -0.059043   0.064745  0.105576  0.003955   
GSM907312 -0.099235 -0.099675  0.052635  -0.001140  0.134546  0.138881   
GSM907313 -0.116387  0.104607  0.004132  -0.003456  0.143240  0.089351   
GSM907314 -0.126756  0.109871  0.144560   0.115114  0.151478  0.088187   
GSM907315 -0.135054 -0.094523  0.057033   0.055684  0.165083  0.143867   
GSM907316 -0.128356 -0.100824 -0.062284   0.134446  0.173464  0.134107   
GSM907317 -0.135238  0.115785 -0.009828  -0.044373  0.145319 -0.016112   
GSM907318 -0.142948  0.130181  0.065931   0.044340  0.141805  0.095377   
GSM907319 -0.154875 -0.101292  0.138590   0.175664  0.155929  0.006983   
GSM907320 -0.103903 -0.089926 -0.078991   0.025394  0.088377 -0.100084   
GSM907321 -0.064573  0.096559 -0.041647   0.004500  0.060489 -0.007219   
GSM907322 -0.082253  0.098778  0.124020   0.097171  0.095659  0.056806   
GSM907323 -0.096675  0.088821  0.019100   0.000533  0.116443  0.004263   
GSM907324 -0.095841 -0.091600  0.021648   0.052158  0.114282 -0.041091   
GSM907325 -0.123597 -0.101558  0.184521   0.212029  0.131026  0.143376   
GSM907326 -0.067991 -0.097385  0.117185   0.099310  0.093761  0.058027   
GSM907327 -0.134720  0.116212  0.090876   0.063306  0.093358  0.065123   
GSM907328 -0.114524 -0.077853 -0.089680  -0.010122  0.086425 -0.012459   
GSM907329 -0.083012 -0.089769  0.030145   0.013288  0.035214 -0.033734   
GSM907330 -0.107839 -0.096541  0.097565   0.095985  0.045915  0.066850   
GSM907331 -0.055044  0.095934  0.055390   0.059442  0.034298  0.040264   
GSM907332 -0.109559  0.122330  0.145502   0.132035  0.096078  0.119229   
GSM907333 -0.053144 -0.092152  0.023657  -0.001724  0.031060  0.086279   
GSM907334 -0.059640  0.091778 -0.128566  -0.062934  0.048208 -0.083756   
GSM907335  0.050828  0.055198  0.003282  -0.068748 -0.025594 -0.057600   
GSM907336  0.035155 -0.068610 -0.124018   0.027934  0.011440  0.117380   
GSM907337 -0.018686 -0.081824  0.026399   0.024169  0.077568 -0.022195   
GSM907338  0.005702  0.074112 -0.094207  -0.150738  0.049431 -0.079824   
GSM907339  0.006951  0.087872 -0.060346  -0.109277  0.051812 -0.012627   
GSM907340  0.043016 -0.071290 -0.131515  -0.122608  0.004973 -0.187131   
GSM907341  0.029400  0.075807 -0.133134  -0.027369  0.036014 -0.006210   
GSM907342 -0.033287 -0.086764  0.043729   0.016558  0.088308 -0.029409   
GSM907343  0.029688 -0.078089 -0.079388   0.058042  0.020160  0.088396   
GSM907344  0.016655  0.080497  0.017832  -0.004889  0.027702 -0.070279   
GSM907345  0.031070 -0.075378  0.015223  -0.068942  0.038081 -0.047043   
GSM907346  0.034460  0.084389 -0.108319  -0.185949  0.061219 -0.142716   
GSM907347 -0.042066 -0.079111  0.073719   0.047581  0.099498 -0.003518   

            MEgreen  MEturquoise   MEbrown  MEgreenyellow    MEpink  MEpurple  \
GSM907203 -0.099145    -0.096509 -0.098869      -0.030705 -0.066212  0.003193   
GSM907204 -0.103368    -0.079532 -0.107631      -0.044881 -0.113012 -0.054393   
GSM907205 -0.047711    -0.135015 -0.115736      -0.037679 -0.098066  0.038621   
GSM907206 -0.103188    -0.114218 -0.099819      -0.017025 -0.069828 -0.055491   
GSM907207 -0.007915    -0.100506  0.113881       0.139206 -0.032307 -0.011318   
GSM907208 -0.186673    -0.188342  0.020302       0.054261 -0.056710 -0.018591   
GSM907209 -0.060743    -0.123274 -0.054714       0.001204 -0.044855 -0.102585   
GSM907210 -0.135595    -0.091043 -0.087843      -0.022886 -0.056688 -0.120769   
GSM907211 -0.031358     0.013884  0.005734      -0.012831 -0.046081 -0.108768   
GSM907212  0.059464    -0.056488  0.154963       0.165769  0.286912  0.047613   
GSM907213 -0.022466    -0.079236 -0.044265      -0.009423 -0.076710 -0.025551   
GSM907214 -0.072485    -0.070828 -0.035964      -0.005214 -0.048606  0.003758   
GSM907215  0.002611    -0.049181 -0.082517      -0.026420 -0.072303  0.000974   
GSM907216  0.056156     0.063266  0.021362      -0.026884  0.043356  0.051999   
GSM907217 -0.009012    -0.089153 -0.062305      -0.030229 -0.053007 -0.047921   
GSM907218 -0.027097    -0.050179 -0.026275      -0.026788 -0.035193 -0.131481   
GSM907219 -0.017262    -0.140672  0.013714       0.073312 -0.071704 -0.038171   
GSM907220 -0.116871    -0.173201 -0.097524      -0.007027 -0.134907 -0.114546   
GSM907221  0.037613    -0.041280 -0.031749      -0.015105 -0.022153  0.044849   
GSM907222 -0.012947    -0.038905 -0.041516      -0.034852 -0.053702 -0.129000   
GSM907223 -0.036244    -0.038782  0.058500       0.040294  0.023081  0.107439   
GSM907224  0.004275    -0.027558 -0.042625      -0.042363  0.018040  0.082887   
GSM907225 -0.005925    -0.021781 -0.057640      -0.030123 -0.038878 -0.035155   
GSM907226  0.002191    -0.053801 -0.050973      -0.024420 -0.027522 -0.092292   
GSM907227  0.063868    -0.001149  0.055817       0.006957  0.001509 -0.195298   
GSM907229 -0.034079    -0.081186 -0.049918      -0.018612 -0.077959  0.047158   
GSM907230 -0.021088    -0.007935 -0.027343      -0.037951 -0.000954 -0.044617   
GSM907231  0.016493    -0.010108 -0.013497      -0.033327 -0.036710 -0.039642   
GSM907232  0.148570     0.040845  0.038539      -0.006993  0.005724 -0.090728   
GSM907233  0.051113     0.009496  0.026337      -0.013367  0.067527 -0.069211   
GSM907234 -0.016822    -0.071130  0.129451       0.122793  0.164400  0.098034   
GSM907235  0.059742     0.007317 -0.026383      -0.031906 -0.043726 -0.010318   
GSM907236 -0.047621    -0.051251 -0.047289      -0.033381 -0.039420 -0.071283   
GSM907237 -0.120199    -0.029437 -0.043560      -0.038498 -0.062273 -0.060669   
GSM907238 -0.066271    -0.070697 -0.110567      -0.037940 -0.083043 -0.101045   
GSM907239 -0.037722     0.008460  0.015194      -0.018596 -0.022011 -0.101820   
GSM907240  0.129150     0.012438  0.020131      -0.017417  0.016317 -0.061497   
GSM907241  0.039170    -0.008255 -0.051754      -0.029142 -0.038541 -0.043775   
GSM907242 -0.081097    -0.149872 -0.091193      -0.013184 -0.052737  0.046176   
GSM907244 -0.139908    -0.034649 -0.062218      -0.038894 -0.086681 -0.037500   
GSM907245 -0.069090    -0.077536 -0.074574      -0.010668 -0.072959 -0.003961   
GSM907246 -0.053067    -0.022726 -0.049419      -0.029596  0.115308 -0.030456   
GSM907247 -0.038437    -0.068050 -0.088531      -0.026492 -0.051934  0.030093   
GSM907248 -0.022291    -0.092024 -0.093106      -0.023421 -0.119768 -0.142535   
GSM907249 -0.121227    -0.093748 -0.124278      -0.028941 -0.135661 -0.040996   
GSM907250 -0.118542    -0.053108 -0.075319      -0.021001 -0.097927 -0.065116   
GSM907251 -0.088103    -0.096738 -0.050477      -0.024470 -0.025865  0.049903   
GSM907252 -0.104731    -0.112826  0.069036       0.214754 -0.054897  0.013825   
GSM907253 -0.069224    -0.032886 -0.064132      -0.029924 -0.083878 -0.076638   
GSM907254 -0.055884    -0.014574  0.087478       0.067579  0.081566  0.055246   
GSM907255 -0.331993    -0.090169 -0.085394      -0.031890 -0.133870 -0.160276   
GSM907256 -0.115727    -0.102935 -0.106945      -0.036622 -0.095682  0.012202   
GSM907257 -0.154018    -0.075526  0.039681       0.064335 -0.001303  0.143101   
GSM907258 -0.050258    -0.088395 -0.110948      -0.027563 -0.097967 -0.060055   
GSM907259  0.051284    -0.083874  0.132826       0.204048  0.001689 -0.053141   
GSM907260 -0.091549    -0.117870 -0.084718      -0.023077 -0.062045 -0.011315   
GSM907261 -0.098098    -0.107332 -0.116196      -0.032401 -0.114291 -0.041149   
GSM907262 -0.182401    -0.067252 -0.034439      -0.040894 -0.034342 -0.163891   
GSM907263 -0.107655    -0.100897 -0.101301      -0.020680 -0.087144 -0.116681   
GSM907264 -0.054357    -0.131326 -0.091257      -0.020612 -0.091826 -0.159287   
GSM907265 -0.013644     0.012959 -0.078577      -0.060305 -0.041101  0.032968   
GSM907266  0.066094     0.038381  0.078115       0.028782  0.046275  0.121819   
GSM907267  0.003734    -0.007529  0.097862       0.045000  0.059968  0.114980   
GSM907268  0.067192    -0.014659 -0.065743      -0.030940  0.013911 -0.030075   
GSM907269 -0.021240    -0.028023 -0.053385      -0.018980 -0.091748 -0.079098   
GSM907270 -0.015348    -0.016710 -0.040991      -0.036365 -0.030831 -0.058394   
GSM907271  0.009657     0.004706 -0.039358      -0.040033 -0.040250 -0.109363   
GSM907272 -0.027681     0.001521  0.136342       0.092731  0.077419  0.005661   
GSM907273  0.036391    -0.078892 -0.036745      -0.013263 -0.014493 -0.090159   
GSM907274  0.006607    -0.040628 -0.018485       0.006283  0.026377 -0.078593   
GSM907275  0.036695    -0.017181 -0.063141      -0.032290 -0.045286 -0.059388   
GSM907276  0.073146     0.055294  0.040063      -0.038328  0.033686  0.039990   
GSM907277  0.062040     0.044526  0.106219       0.082297  0.067315  0.119100   
GSM907279  0.115644     0.094608  0.268666       0.345163  0.073270  0.150035   
GSM907280  0.137074     0.132993  0.029986      -0.053242  0.114901 -0.018223   
GSM907281  0.120041     0.108098  0.004426      -0.062399  0.075235  0.120532   
GSM907282  0.138399     0.132726  0.011687      -0.048645  0.045181  0.079390   
GSM907283  0.120779     0.173692  0.028323      -0.070220  0.026555 -0.005533   
GSM907284  0.090005     0.100001  0.010200      -0.040697 -0.004985 -0.067789   
GSM907285  0.136366     0.119968  0.018388      -0.043161  0.059551  0.142853   
GSM907286  0.154146     0.116112  0.008079      -0.067538  0.064058 -0.004162   
GSM907287  0.076589     0.087338  0.036096      -0.016120 -0.000564  0.131590   
GSM907288 -0.009556     0.031636 -0.062887      -0.055946 -0.000087  0.078181   
GSM907289  0.084807     0.070377  0.015697      -0.043973  0.077748 -0.007854   
GSM907290  0.049112     0.086187 -0.010544      -0.052829  0.017113  0.148623   
GSM907291  0.010925     0.028124 -0.057998      -0.057481 -0.000834  0.109580   
GSM907292  0.002332     0.025876 -0.067187      -0.054155 -0.065875  0.039666   
GSM907293  0.062918     0.037060  0.215996       0.228902  0.048469  0.058273   
GSM907294  0.105884     0.030665 -0.040057      -0.056692  0.024176  0.047378   
GSM907295  0.159045     0.028675  0.147089       0.144752  0.062316  0.004242   
GSM907296  0.040233     0.071084  0.002454      -0.039933  0.026624  0.069698   
GSM907297  0.099110     0.150500  0.027123      -0.052893  0.038078  0.155599   
GSM907298 -0.062769     0.083980  0.011960      -0.043421  0.071486  0.002835   
GSM907299  0.082721     0.102506  0.015902      -0.051957  0.077117  0.099885   
GSM907300  0.055123     0.152213  0.048497      -0.044770  0.056651  0.009951   
GSM907301 -0.002351     0.093319  0.192382       0.043921  0.116808  0.179166   
GSM907303  0.052531     0.051069 -0.047573      -0.053448  0.005582  0.033721   
GSM907304  0.051848     0.072233 -0.007014      -0.047996  0.052552  0.041139   
GSM907305  0.197522     0.054715  0.300407       0.455804  0.070062  0.049706   
GSM907306 -0.085235     0.049270  0.007364      -0.028039  0.362181 -0.032756   
GSM907307  0.023898    -0.048379 -0.050836      -0.017305 -0.007856 -0.042709   
GSM907308  0.048407     0.130021 -0.023283      -0.053826 -0.013258  0.001982   
GSM907309  0.070184     0.093994  0.007671      -0.059603  0.021881 -0.059654   
GSM907311  0.067378     0.128429  0.186258       0.085802  0.203056  0.216585   
GSM907312  0.076085     0.102045 -0.025529      -0.048163 -0.024254 -0.009431   
GSM907313  0.096591     0.115710  0.015423      -0.053995  0.061800  0.057985   
GSM907314  0.060374     0.113841  0.029884      -0.040419  0.048917 -0.021628   
GSM907315  0.105772     0.136730  0.010986      -0.057504  0.012645 -0.002852   
GSM907316  0.137484     0.144201  0.254583       0.216789  0.146279  0.134283   
GSM907317  0.046189     0.113568  0.003565      -0.047325  0.084263  0.153404   
GSM907318  0.040943     0.126993 -0.010358      -0.049413  0.002001  0.059497   
GSM907319  0.054430     0.136092  0.121189      -0.012177  0.299569  0.071045   
GSM907320  0.031550     0.096726  0.127417       0.033248  0.179512  0.199492   
GSM907321 -0.070808     0.037762  0.042653       0.013605  0.076083  0.091165   
GSM907322 -0.034815     0.064969 -0.011051      -0.053718  0.009488 -0.046411   
GSM907323  0.088751     0.071544  0.010209      -0.066958  0.031171 -0.014393   
GSM907324  0.049571     0.076953  0.057900      -0.028999  0.122180  0.106650   
GSM907325  0.093044     0.124788  0.073060      -0.016915  0.042871 -0.078034   
GSM907326  0.044271     0.048028 -0.012379      -0.034784  0.031387 -0.073663   
GSM907327  0.026325     0.112122  0.004135      -0.068911  0.026270  0.038109   
GSM907328  0.001010     0.092139  0.109938       0.020820  0.061547  0.188021   
GSM907329  0.063196     0.064078  0.006710      -0.033618  0.056250  0.078502   
GSM907330  0.049316     0.091510  0.044565      -0.039131  0.075763 -0.069920   
GSM907331 -0.016516     0.046924 -0.002614      -0.033306 -0.008402 -0.065143   
GSM907332  0.084654     0.110911  0.024539      -0.038584  0.018879 -0.017189   
GSM907333  0.077044     0.058762 -0.037106      -0.057541 -0.046650  0.001840   
GSM907334  0.013701     0.065019  0.125076       0.063810  0.131483  0.183408   
GSM907335 -0.124493    -0.122291 -0.117320      -0.021290 -0.130544 -0.095066   
GSM907336  0.008240    -0.075770  0.182723       0.353725 -0.098571 -0.075552   
GSM907337 -0.018868    -0.023288 -0.039770      -0.034921 -0.033066 -0.044078   
GSM907338 -0.068214    -0.040820 -0.087878      -0.039884 -0.061725  0.051650   
GSM907339  0.031547    -0.058745 -0.070498      -0.037771 -0.096265 -0.057261   
GSM907340 -0.101381    -0.106264 -0.030074       0.013368 -0.103155  0.042606   
GSM907341 -0.029822    -0.075361  0.080758       0.143865 -0.033249 -0.008192   
GSM907342 -0.019587    -0.012792 -0.010814      -0.034336  0.015562 -0.027247   
GSM907343 -0.015132    -0.056408  0.132171       0.214738 -0.060124 -0.037671   
GSM907344 -0.084221    -0.076582 -0.034735       0.001768 -0.058552  0.003739   
GSM907345 -0.174240    -0.094146 -0.111687      -0.041163 -0.157616 -0.114622   
GSM907346 -0.139928    -0.104285 -0.126810      -0.039777 -0.103424  0.020849   
GSM907347  0.006960     0.001722 -0.008529      -0.029973  0.021674 -0.023409   

              MEtan    MEgrey  
GSM907203 -0.005552  0.121402  
GSM907204  0.007315  0.102619  
GSM907205  0.017335  0.129113  
GSM907206 -0.075181  0.130817  
GSM907207 -0.048233  0.103451  
GSM907208  0.006870  0.130289  
GSM907209 -0.063747  0.130460  
GSM907210 -0.096736  0.108674  
GSM907211  0.040100  0.011631  
GSM907212  0.036723  0.060084  
GSM907213 -0.011659  0.089911  
GSM907214 -0.052673  0.080797  
GSM907215  0.009727  0.076240  
GSM907216  0.193021 -0.073012  
GSM907217 -0.011201  0.097355  
GSM907218 -0.003931  0.076401  
GSM907219 -0.065735  0.113761  
GSM907220 -0.078411  0.149463  
GSM907221 -0.008045  0.067374  
GSM907222 -0.258018  0.053997  
GSM907223  0.140817  0.052479  
GSM907224  0.014050  0.056295  
GSM907225 -0.019627  0.063188  
GSM907226 -0.040786  0.083536  
GSM907227 -0.122504  0.030344  
GSM907229  0.021783  0.098449  
GSM907230 -0.042244  0.039125  
GSM907231 -0.084413  0.023886  
GSM907232 -0.025589 -0.003266  
GSM907233 -0.007050 -0.011177  
GSM907234  0.036817  0.036044  
GSM907235  0.005836  0.006753  
GSM907236 -0.011142  0.059935  
GSM907237 -0.136646  0.043966  
GSM907238 -0.098048  0.082342  
GSM907239 -0.019369  0.015931  
GSM907240 -0.075376  0.002095  
GSM907241 -0.051566  0.034633  
GSM907242 -0.001041  0.134844  
GSM907244 -0.059590  0.037414  
GSM907245 -0.063480  0.078572  
GSM907246 -0.030251  0.037752  
GSM907247  0.020194  0.071479  
GSM907248 -0.110735  0.091415  
GSM907249 -0.077087  0.084036  
GSM907250 -0.060236  0.061036  
GSM907251 -0.028829  0.078072  
GSM907252 -0.037585  0.082772  
GSM907253 -0.030025  0.051836  
GSM907254  0.084975  0.014523  
GSM907255 -0.205999  0.070268  
GSM907256 -0.027843  0.103238  
GSM907257 -0.014974  0.085622  
GSM907258 -0.013296  0.104272  
GSM907259  0.016517  0.066550  
GSM907260 -0.067778  0.115982  
GSM907261 -0.058711  0.112262  
GSM907262 -0.246123  0.064347  
GSM907263 -0.112293  0.109566  
GSM907264 -0.118793  0.125301  
GSM907265  0.040328 -0.009989  
GSM907266  0.039800 -0.036650  
GSM907267  0.163246 -0.006548  
GSM907268  0.021257  0.023974  
GSM907269  0.012267  0.042352  
GSM907270 -0.046197  0.024976  
GSM907271 -0.072762  0.008993  
GSM907272  0.093256 -0.015111  
GSM907273 -0.058951  0.075509  
GSM907274 -0.052722  0.044380  
GSM907275 -0.031717  0.030673  
GSM907276  0.035746 -0.061157  
GSM907277  0.013062 -0.055336  
GSM907279  0.246575 -0.106878  
GSM907280  0.114629 -0.139803  
GSM907281  0.113194 -0.101887  
GSM907282  0.123068 -0.111488  
GSM907283  0.109209 -0.158284  
GSM907284  0.055850 -0.086927  
GSM907285  0.106375 -0.120673  
GSM907286  0.056560 -0.107118  
GSM907287  0.179834 -0.080155  
GSM907288  0.026435 -0.039440  
GSM907289  0.028158 -0.083726  
GSM907290  0.069996 -0.099272  
GSM907291 -0.007230 -0.035176  
GSM907292  0.027696 -0.030031  
GSM907293  0.079080 -0.053531  
GSM907294  0.015232 -0.030425  
GSM907295  0.009034 -0.033930  
GSM907296  0.020499 -0.068606  
GSM907297  0.078246 -0.129466  
GSM907298 -0.144567 -0.067656  
GSM907299  0.109208 -0.088456  
GSM907300  0.206635 -0.140889  
GSM907301  0.095493 -0.075188  
GSM907303  0.016309 -0.031308  
GSM907304 -0.035563 -0.059917  
GSM907305  0.073074 -0.049686  
GSM907306  0.023926 -0.200855  
GSM907307 -0.023890  0.041814  
GSM907308  0.071778 -0.113207  
GSM907309 -0.085437 -0.085533  
GSM907311  0.128518 -0.124456  
GSM907312  0.041182 -0.093430  
GSM907313  0.060284 -0.107737  
GSM907314  0.042602 -0.113941  
GSM907315  0.075578 -0.122657  
GSM907316  0.104428 -0.140491  
GSM907317  0.118508 -0.129568  
GSM907318  0.062612 -0.128762  
GSM907319  0.059243 -0.144111  
GSM907320  0.153552 -0.114342  
GSM907321 -0.082111 -0.069506  
GSM907322  0.027266 -0.084454  
GSM907323  0.019810 -0.092086  
GSM907324  0.099942 -0.111834  
GSM907325  0.046196 -0.122139  
GSM907326 -0.117958 -0.057426  
GSM907327  0.050614 -0.115331  
GSM907328 -0.006413 -0.098977  
GSM907329  0.054973 -0.072116  
GSM907330  0.089849 -0.098887  
GSM907331 -0.090874 -0.040376  
GSM907332  0.001282 -0.105759  
GSM907333  0.033034 -0.047542  
GSM907334  0.163018 -0.075195  
GSM907335 -0.071041  0.086657  
GSM907336 -0.083699  0.033181  
GSM907337 -0.144514  0.018856  
GSM907338 -0.004089  0.032483  
GSM907339 -0.054376  0.048804  
GSM907340 -0.058767  0.071594  
GSM907341  0.000339  0.046098  
GSM907342 -0.026683  0.003376  
GSM907343 -0.001696  0.024675  
GSM907344 -0.100722  0.065573  
GSM907345 -0.107989  0.073728  
GSM907346 -0.057275  0.068191  
GSM907347 -0.114575  0.002997


# Get the number of genes for each module
module_colors = pd.DataFrame(robjects.r['as.data.frame'](bwnet.rx('colors')[0]))
module_counts = module_colors.iloc[:, 0].value_counts()
module_colors.columns = module_colors.iloc[0]
module_colors.columns
print(module_counts)

grey    1
Name: 0, dtype: int64


traits = colData
traits['disease_state_bin'] = [1 if '(HCM)' in state else 0 for state in traits['disease_state']]
traits = traits[['disease_state_bin']]
traits

C:\Users\Prahas\AppData\Local\Temp\ipykernel_35852\3545913209.py:2: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  traits['disease_state_bin'] = [1 if '(HCM)' in state else 0 for state in traits['disease_state']]


# Convert severity column to a factor with specified levels

r_colData = pandas2ri.py2rpy(colData)
r.assign('r_colData', r_colData)
# Apply the factor conversion to the 'severity' column
r.assign('r_colData', r_colData)

robjects.r('r_colData <- as.data.frame(r_colData)')
robjects.r('r_colData$disease_state <- factor(r_colData$disease_state, levels = c("Healthy", "(HCM)"))')
# Convert 'colData' back to a pandas DataFrame
colData = pandas2ri.rpy2py_dataframe(r_colData)

severity_out = WGCNA.binarizeCategoricalColumns(colData['disease_state'],
                                                includePairwise=False,
                                                includeLevelVsAll=True,
                                                minCount=1)
severity_out = pandas2ri.rpy2py_dataframe(severity_out)
severity_out = severity_out.set_index(traits.index)
traits = traits.join(severity_out)
traits['data.Healthy.vs.all'] = (colData['disease_state'] == 'Healthy').astype(int)
pd.set_option('display.max_rows', None)
traits


# Define numbers of genes and samples
nSamples = norm_counts.shape[1]
nGenes = norm_counts.shape[0]


print(len(traits.index))
print(len(module_eigengenes))

140
140


# Calculate Pearson's correlation using cor from stats package
robjects.globalenv["cor"] = stats.cor

module_trait_corr = robjects.r['cor'](module_eigengenes, traits, use='p')

robjects.globalenv["cor"] = WGCNA.cor
# Calculate p-values using corPvalueStudent from WGCNA package
module_trait_corr_pvals = WGCNA.corPvalueStudent(module_trait_corr, nSamples)

# Convert the results to Python objects
module_trait_corr = np.array(module_trait_corr)

# Convert module_trait_corr_pvals to a numpy array
module_trait_corr_pvals = np.array(module_trait_corr_pvals)

module_trait_corr = pd.DataFrame(module_trait_corr)

# Convert module_trait_corr_pvals to a pandas DataFrame
module_trait_corr_pvals = pd.DataFrame(module_trait_corr_pvals)
module_trait_corr


# Visualize module-trait association as a heatmap
heatmap_data = pd.DataFrame(module_trait_corr)
heatmap_data.columns = traits.columns
heatmap_data.index = module_eigengenes.columns
heatmap_data


# Set up the heatmap
plt.figure(figsize=(8, 6))
colors = ["#0000FF", "#87CEEB", "#FFFFFF", "#FFC0CB", "#FF0000"]

sns.heatmap(heatmap_data, cmap=colors, annot=True, fmt=".2f", linewidths=0.5)

# Set labels and title
plt.xlabel('Traits')
plt.ylabel('Modules')
plt.title('Module-Trait Association Heatmap')

# Display the plot
plt.show()


# 6B. Intramodular analysis: Identifying driver genes -------------
# Calculate the module membership and the associated p-values
robjects.globalenv["cor"] = stats.cor
module_membership_measure = robjects.r['cor'](module_eigengenes, norm_counts, use='p')
module_membership_measure_pvals = robjects.r['corPvalueStudent'](module_membership_measure, nSamples)
# Convert module_membership_measure_pvals to an R DataFrame
module_membership_measure_pvals = pd.DataFrame(module_membership_measure_pvals)


print(module_membership_measure_pvals)

IOPub data rate exceeded.
The notebook server will temporarily stop sending output
to the client in order to avoid crashing it.
To change this limit, set the config variable
`--NotebookApp.iopub_data_rate_limit`.

Current values:
NotebookApp.iopub_data_rate_limit=1000000.0 (bytes/sec)
NotebookApp.rate_limit_window=3.0 (secs)


# print(module_membership_measure_pvals.iloc[:10, :10])
robjects.globalenv["cor"] = stats.cor
# Calculate the gene significance and associated p-values
print(len(traits['data.hypertrophic cardiomyopathy (HCM).vs.all']))
print(len(norm_counts))

gene_significance_corr = robjects.r['cor'](norm_counts, traits['data.hypertrophic cardiomyopathy (HCM).vs.all'], use='p')
gene_significance_corr_pvals = robjects.r['corPvalueStudent'](gene_significance_corr, nSamples)
gene_significance_corr_pvals = pd.DataFrame(gene_significance_corr_pvals)
gene_significance_corr_pvals_df = gene_significance_corr_pvals.head(25)

print(gene_significance_corr_pvals_df)

140
140
                0
0   1.096959e-154
1   1.861744e-238
2    0.000000e+00
3   6.820029e-258
4   3.180743e-156
5    0.000000e+00
6   3.378268e-263
7   9.716988e-172
8    0.000000e+00
9    0.000000e+00
10   0.000000e+00
11  6.032150e-238
12   0.000000e+00
13  9.254904e-127
14  3.380951e-279
15   0.000000e+00
16   4.465371e-70
17   4.565763e-44
18   0.000000e+00
19  7.336760e-117
20   0.000000e+00
21   2.990320e-29
22   9.628067e-49
23   0.000000e+00
24  1.837575e-182


def process_column(column):
    return module_gene_mapping[module_gene_mapping[column] == 'yellow'].index

if __name__ == '__main__':
    module_gene_mapping = pd.DataFrame(module_colors)
    print(module_gene_mapping.columns)
    yellow_columns = module_gene_mapping.columns[module_gene_mapping.columns == 'yellow']

    with multiprocessing.Pool() as pool:
        yellow_module_genes = pool.map(process_column, yellow_columns)

    print(yellow_module_genes)

	ID_REF	653513_mRNA	647527_mRNA	634021_mRNA	43_mRNA	5059_mRNA	2158_mRNA	46_mRNA	25_mRNA	644621_mRNA	...	647526_mRNA	635265_mRNA	4049_mRNA	4152_mRNA	671852_mRNA	5033_mRNA	R58_mRNA	673482_mRNA	R656518_mRNA	R59_mRNA
ID_REF
7A5	7A5	65.29057	62.31787	61.56281	60.8467	64.96912	74.80866	58.7639	54.23415	76.22506	...	56.46409	62.36212	59.65278	56.93419	65.7456	61.72684	58.14715	61.0317	65.01752	61.39564
A1BG	A1BG	81.10231	69.69264	70.10897	60.96588	70.82362	76.30508	70.42997	67.50185	76.48309	...	62.34427	57.0758	72.13431	70.49693	76.94215	71.93469	76.30377	69.85197	76.24279	69.48135
A1CF	A1CF	81.45553	67.15081	70.21436	75.43973	67.28829	73.51493	60.10391	70.13483	68.08152	...	61.18286	65.32533	62.6037	68.20814	66.64779	59.00509	62.82897	62.38643	67.50954	66.82999
A26A1	A26A1	64.55132	71.03593	61.28361	63.37952	66.16459	72.36303	65.30563	61.3966	58.95061	...	62.71857	70.4472	59.43178	56.12112	70.34036	62.61597	65.13914	61.04878	64.0183	62.57026
A26B1	A26B1	57.29808	70.1785	65.27797	50.81472	52.81135	63.78223	65.24652	57.24791	60.30733	...	56.74057	59.53376	57.99358	67.41944	73.47861	66.71329	65.59566	63.98689	59.39391	60.83633

geo_accession	GSM907203	GSM907204	GSM907205	GSM907206	GSM907207	GSM907208	GSM907209	GSM907210	GSM907211	GSM907212	GSM907213	GSM907214	GSM907215	GSM907216	GSM907217	GSM907218	GSM907219	GSM907220	GSM907221	GSM907222	GSM907223	GSM907224	GSM907225	GSM907226	GSM907227	GSM907228	GSM907229	GSM907230	GSM907231	GSM907232	GSM907233	GSM907234	GSM907235	GSM907236	GSM907237	GSM907238	GSM907239	GSM907240	GSM907241	GSM907242	GSM907243	GSM907244	GSM907245	GSM907246	GSM907247	GSM907248	GSM907249	GSM907250	GSM907251	GSM907252	GSM907253	GSM907254	GSM907255	GSM907256	GSM907257	GSM907258	GSM907259	GSM907260	GSM907261	GSM907262	GSM907263	GSM907264	GSM907265	GSM907266	GSM907267	GSM907268	GSM907269	GSM907270	GSM907271	GSM907272	GSM907273	GSM907274	GSM907275	GSM907276	GSM907277	GSM907278	GSM907279	GSM907280	GSM907281	GSM907282	GSM907283	GSM907284	GSM907285	GSM907286	GSM907287	GSM907288	GSM907289	GSM907290	GSM907291	GSM907292	GSM907293	GSM907294	GSM907295	GSM907296	GSM907297	GSM907298	GSM907299	GSM907300	GSM907301	GSM907302	GSM907303	GSM907304	GSM907305	GSM907306	GSM907307	GSM907308	GSM907309	GSM907310	GSM907311	GSM907312	GSM907313	GSM907314	GSM907315	GSM907316	GSM907317	GSM907318	GSM907319	GSM907320	GSM907321	GSM907322	GSM907323	GSM907324	GSM907325	GSM907326	GSM907327	GSM907328	GSM907329	GSM907330	GSM907331	GSM907332	GSM907333	GSM907334	GSM907335	GSM907336	GSM907337	GSM907338	GSM907339	GSM907340	GSM907341	GSM907342	GSM907343	GSM907344	GSM907345	GSM907346	GSM907347
ID_REF
7A5	65.29057	62.31787	61.56281	60.84670	64.96912	74.80866	58.76390	54.23415	76.22506	62.10956	62.69334	58.54863	58.06770	56.97955	66.10465	59.20961	60.72915	70.62639	56.80436	64.56814	78.15814	74.49504	68.60240	58.16958	69.36259	58.40417	63.71593	67.94057	63.96039	69.34713	61.68852	64.81268	66.01112	54.25367	60.50505	52.44871	64.53335	64.49588	55.05366	58.81314	66.73283	61.39533	57.68219	55.76287	71.09457	56.43701	59.89408	56.56976	59.93680	49.85187	54.92993	58.41692	65.41371	60.96426	53.63340	72.56416	60.65953	67.16879	64.73169	60.70858	67.72549	63.90305	73.16888	67.28812	65.36741	64.21497	62.65029	65.27583	63.82570	55.30007	68.25024	76.27230	67.45269	57.50999	54.90535	55.92346	63.92560	53.28917	59.47027	60.14693	52.30537	64.39246	62.58740	54.98512	53.17781	69.94141	61.37391	69.21944	82.10519	71.24609	71.40573	58.23240	58.83361	63.89175	69.13395	53.80500	64.73736	62.65997	51.36032	60.34590	57.46158	51.36549	64.68721	97.19249	71.14939	66.95348	61.36636	73.19765	67.49792	74.79422	78.13251	69.59505	65.18533	77.76862	52.28429	59.91814	53.11614	69.76200	53.14492	56.84196	58.75380	65.36099	63.83615	60.84842	66.04089	83.26381	59.23740	74.16775	61.20929	67.23274	57.53767	69.77493	68.28503	64.96378	62.29540	56.46409	62.36212	59.65278	56.93419	65.74560	61.72684	58.14715	61.03170	65.01752	61.39564
A1BG	81.10231	69.69264	70.10897	60.96588	70.82362	76.30508	70.42997	67.50185	76.48309	61.57887	67.03207	64.97902	69.26588	83.93068	70.15062	66.58295	61.78551	65.42224	64.16644	79.09004	83.50323	81.12671	81.01392	72.29181	80.56789	73.17577	78.99736	71.48633	71.16487	66.71101	77.72713	82.06836	74.88272	61.67918	68.57768	84.36162	74.97314	72.11663	71.91394	64.37760	84.46202	75.82329	75.45969	76.18250	74.59608	69.26941	72.03682	65.07060	74.67287	56.66161	58.38717	70.65753	67.79871	72.36040	71.45992	70.08684	80.73891	66.50095	76.84919	72.31776	57.76955	71.16707	86.66562	75.96875	72.05340	76.28433	67.46185	72.48373	91.04869	91.42743	77.57180	73.06989	87.32039	84.26827	72.42001	67.90550	71.21426	71.84113	73.13554	70.46868	72.70982	80.95490	79.13446	66.58790	79.89113	96.21786	91.14946	75.36514	72.49816	79.20798	79.10893	93.33739	74.80870	78.84186	74.66008	70.94264	72.85101	83.05211	78.15770	71.00452	88.00652	66.82336	70.21127	114.88910	77.84131	76.33004	82.19858	81.29316	80.47512	77.90018	87.08379	66.72905	79.18275	79.31148	76.07393	83.02915	86.19357	79.53725	66.15965	74.00019	72.74054	66.68317	81.21529	65.37389	85.47658	86.88130	83.30402	86.10332	68.85721	72.92045	80.97088	81.10208	74.31165	77.06239	68.13811	62.34427	57.07580	72.13431	70.49693	76.94215	71.93469	76.30377	69.85197	76.24279	69.48135
A1CF	81.45553	67.15081	70.21436	75.43973	67.28829	73.51493	60.10391	70.13483	68.08152	59.69571	64.44305	60.67877	72.47640	81.70650	68.37206	62.75688	71.30367	67.88377	68.01675	67.83726	71.20699	73.15218	74.42257	68.71795	72.59103	71.11586	74.54482	78.35299	75.04034	74.45348	68.90015	70.89513	69.07249	70.32151	63.73153	71.10522	62.91788	62.84414	61.77620	61.93284	76.67185	68.96399	69.64839	68.13452	69.69202	64.68788	65.20570	62.60467	66.52625	60.81643	66.06789	68.30403	70.51469	62.32861	76.98298	59.16469	70.89976	64.99240	67.00079	79.63667	64.65726	67.29628	72.93102	68.77385	74.99313	71.86140	69.23189	67.93631	74.35098	75.42151	73.64401	74.73088	71.01246	69.17301	63.49906	68.37761	67.89543	60.09656	70.10548	69.03780	71.13000	64.23296	68.81348	61.28252	65.66233	74.59736	74.46744	66.37397	68.11333	71.42319	72.63573	71.33572	62.68664	71.47154	74.24158	64.35320	61.18043	68.99033	65.17658	65.17828	71.88097	69.20345	73.25546	103.73780	67.05159	75.36293	80.12950	77.96621	69.03769	70.09135	78.86774	74.66802	63.61431	74.76818	65.29176	69.96564	71.28576	65.06490	63.74851	62.55193	71.32084	70.47765	65.99082	61.89965	75.07221	86.92928	72.31168	67.87125	71.86306	75.92021	74.43069	74.06528	66.99185	70.45167	54.54038	61.18286	65.32533	62.60370	68.20814	66.64779	59.00509	62.82897	62.38643	67.50954	66.82999
A26A1	64.55132	71.03593	61.28361	63.37952	66.16459	72.36303	65.30563	61.39660	58.95061	65.65044	60.66780	61.70957	59.47162	63.67523	72.83018	62.40050	65.17709	64.88587	58.36486	80.15242	68.55515	62.80584	65.87198	66.51140	80.23827	73.10252	72.12740	74.08974	57.21408	73.52246	78.68336	68.54187	76.58774	60.36852	66.16051	59.57924	65.16412	58.55581	64.11060	54.48622	81.36368	70.19476	56.77454	68.85350	65.47591	62.06735	62.84012	61.79833	62.67285	54.60416	66.98585	59.55083	68.83313	70.69958	64.84106	69.45752	78.11264	61.50661	67.52583	65.20406	65.97617	72.17638	69.89931	69.24882	66.52153	68.93401	70.06615	65.22685	60.99287	83.95238	67.38321	79.51251	71.77770	67.61562	74.79311	63.72667	67.26440	62.52534	60.50792	60.27297	61.66440	63.55247	56.46172	60.11586	75.99278	68.39457	67.39795	62.36613	68.59732	71.77732	72.88620	73.68642	56.99184	63.73898	68.66551	67.23112	68.13003	62.84387	59.68383	65.23580	64.55921	65.05376	67.81451	117.86740	72.80888	71.17003	76.74516	76.74588	71.79079	71.93520	75.36884	77.70180	65.91579	63.88483	62.88486	73.63818	70.36484	73.30153	58.93116	66.66887	60.78986	57.40200	65.50903	59.88911	78.60060	84.55709	80.22562	72.19923	70.09793	74.03123	59.91133	70.03424	76.19406	67.58575	53.25567	62.71857	70.44720	59.43178	56.12112	70.34036	62.61597	65.13914	61.04878	64.01830	62.57026
A26B1	57.29808	70.17850	65.27797	50.81472	52.81135	63.78223	65.24652	57.24791	60.30733	63.95859	62.34716	52.91399	59.76956	62.68080	55.95761	53.87509	62.52782	57.52202	59.01538	70.38113	65.81904	72.66209	70.92041	64.93957	78.24572	75.17036	70.18301	61.82309	63.07059	69.52827	76.29926	72.18565	67.72517	62.87524	54.05753	66.77421	67.17140	59.86135	62.27068	53.95000	75.20690	67.83342	80.11066	70.70233	70.11110	56.70157	61.42022	73.19990	71.74355	55.91912	66.30814	55.83378	61.18243	68.53109	70.22430	58.58428	74.79515	57.37943	74.39492	70.44504	69.95300	75.82304	69.38116	57.97744	51.32714	74.84216	67.67490	71.88820	69.58510	81.48514	72.88184	82.00147	55.92359	61.78386	72.49412	79.25964	74.97388	59.99926	59.78051	74.36534	55.74921	62.76185	60.06883	54.19473	62.04702	66.10615	53.69729	59.74035	69.63441	65.32778	68.71057	64.04971	70.21349	71.02561	71.35813	65.22906	64.22168	72.55596	54.51381	58.83422	71.51662	66.14920	75.88432	109.19080	64.20638	74.26225	57.32337	72.06637	55.29786	68.12988	70.94062	64.80984	74.86996	71.88435	68.81399	68.66465	58.59450	56.08224	54.61717	60.23008	67.19951	61.12390	77.94355	58.35342	82.00255	72.18835	69.72543	65.16534	81.95395	83.22943	71.53840	69.71984	76.70113	67.04541	60.45274	56.74057	59.53376	57.99358	67.41944	73.47861	66.71329	65.59566	63.98689	59.39391	60.83633

	GSM907203	GSM907204	GSM907205	GSM907206	GSM907207	GSM907208	GSM907209	GSM907210	GSM907211	GSM907212	GSM907213	GSM907214	GSM907215	GSM907216	GSM907217	GSM907218	GSM907219	GSM907220	GSM907221	GSM907222	GSM907223	GSM907224	GSM907225	GSM907226	GSM907227	GSM907228	GSM907229	GSM907230	GSM907231	GSM907232	GSM907233	GSM907234	GSM907235	GSM907236	GSM907237	GSM907238	GSM907239	GSM907240	GSM907241	GSM907242	GSM907243	GSM907244	GSM907245	GSM907246	GSM907247	GSM907248	GSM907249	GSM907250	GSM907251	GSM907252	GSM907253	GSM907254	GSM907255	GSM907256	GSM907257	GSM907258	GSM907259	GSM907260	GSM907261	GSM907262	GSM907263	GSM907264	GSM907265	GSM907266	GSM907267	GSM907268	GSM907269	GSM907270	GSM907271	GSM907272	GSM907273	GSM907274	GSM907275	GSM907276	GSM907277	GSM907278	GSM907279	GSM907280	GSM907281	GSM907282	GSM907283	GSM907284	GSM907285	GSM907286	GSM907287	GSM907288	GSM907289	GSM907290	GSM907291	GSM907292	GSM907293	GSM907294	GSM907295	GSM907296	GSM907297	GSM907298	GSM907299	GSM907300	GSM907301	GSM907302	GSM907303	GSM907304	GSM907305	GSM907306	GSM907307	GSM907308	GSM907309	GSM907310	GSM907311	GSM907312	GSM907313	GSM907314	GSM907315	GSM907316	GSM907317	GSM907318	GSM907319	GSM907320	GSM907321	GSM907322	GSM907323	GSM907324	GSM907325	GSM907326	GSM907327	GSM907328	GSM907329	GSM907330	GSM907331	GSM907332	GSM907333	GSM907334	GSM907335	GSM907336	GSM907337	GSM907338	GSM907339	GSM907340	GSM907341	GSM907342	GSM907343	GSM907344	GSM907345	GSM907346	GSM907347
7A5	65.29057	62.31787	61.56281	60.84670	64.96912	74.80866	58.76390	54.23415	76.22506	62.10956	62.69334	58.54863	58.06770	56.97955	66.10465	59.20961	60.72915	70.62639	56.80436	64.56814	78.15814	74.49504	68.60240	58.16958	69.36259	58.40417	63.71593	67.94057	63.96039	69.34713	61.68852	64.81268	66.01112	54.25367	60.50505	52.44871	64.53335	64.49588	55.05366	58.81314	66.73283	61.39533	57.68219	55.76287	71.09457	56.43701	59.89408	56.56976	59.93680	49.85187	54.92993	58.41692	65.41371	60.96426	53.63340	72.56416	60.65953	67.16879	64.73169	60.70858	67.72549	63.90305	73.16888	67.28812	65.36741	64.21497	62.65029	65.27583	63.82570	55.30007	68.25024	76.27230	67.45269	57.50999	54.90535	55.92346	63.92560	53.28917	59.47027	60.14693	52.30537	64.39246	62.58740	54.98512	53.17781	69.94141	61.37391	69.21944	82.10519	71.24609	71.40573	58.23240	58.83361	63.89175	69.13395	53.80500	64.73736	62.65997	51.36032	60.34590	57.46158	51.36549	64.68721	97.19249	71.14939	66.95348	61.36636	73.19765	67.49792	74.79422	78.13251	69.59505	65.18533	77.76862	52.28429	59.91814	53.11614	69.76200	53.14492	56.84196	58.75380	65.36099	63.83615	60.84842	66.04089	83.26381	59.23740	74.16775	61.20929	67.23274	57.53767	69.77493	68.28503	64.96378	62.29540	56.46409	62.36212	59.65278	56.93419	65.74560	61.72684	58.14715	61.03170	65.01752	61.39564
A1BG	81.10231	69.69264	70.10897	60.96588	70.82362	76.30508	70.42997	67.50185	76.48309	61.57887	67.03207	64.97902	69.26588	83.93068	70.15062	66.58295	61.78551	65.42224	64.16644	79.09004	83.50323	81.12671	81.01392	72.29181	80.56789	73.17577	78.99736	71.48633	71.16487	66.71101	77.72713	82.06836	74.88272	61.67918	68.57768	84.36162	74.97314	72.11663	71.91394	64.37760	84.46202	75.82329	75.45969	76.18250	74.59608	69.26941	72.03682	65.07060	74.67287	56.66161	58.38717	70.65753	67.79871	72.36040	71.45992	70.08684	80.73891	66.50095	76.84919	72.31776	57.76955	71.16707	86.66562	75.96875	72.05340	76.28433	67.46185	72.48373	91.04869	91.42743	77.57180	73.06989	87.32039	84.26827	72.42001	67.90550	71.21426	71.84113	73.13554	70.46868	72.70982	80.95490	79.13446	66.58790	79.89113	96.21786	91.14946	75.36514	72.49816	79.20798	79.10893	93.33739	74.80870	78.84186	74.66008	70.94264	72.85101	83.05211	78.15770	71.00452	88.00652	66.82336	70.21127	114.88910	77.84131	76.33004	82.19858	81.29316	80.47512	77.90018	87.08379	66.72905	79.18275	79.31148	76.07393	83.02915	86.19357	79.53725	66.15965	74.00019	72.74054	66.68317	81.21529	65.37389	85.47658	86.88130	83.30402	86.10332	68.85721	72.92045	80.97088	81.10208	74.31165	77.06239	68.13811	62.34427	57.07580	72.13431	70.49693	76.94215	71.93469	76.30377	69.85197	76.24279	69.48135
A1CF	81.45553	67.15081	70.21436	75.43973	67.28829	73.51493	60.10391	70.13483	68.08152	59.69571	64.44305	60.67877	72.47640	81.70650	68.37206	62.75688	71.30367	67.88377	68.01675	67.83726	71.20699	73.15218	74.42257	68.71795	72.59103	71.11586	74.54482	78.35299	75.04034	74.45348	68.90015	70.89513	69.07249	70.32151	63.73153	71.10522	62.91788	62.84414	61.77620	61.93284	76.67185	68.96399	69.64839	68.13452	69.69202	64.68788	65.20570	62.60467	66.52625	60.81643	66.06789	68.30403	70.51469	62.32861	76.98298	59.16469	70.89976	64.99240	67.00079	79.63667	64.65726	67.29628	72.93102	68.77385	74.99313	71.86140	69.23189	67.93631	74.35098	75.42151	73.64401	74.73088	71.01246	69.17301	63.49906	68.37761	67.89543	60.09656	70.10548	69.03780	71.13000	64.23296	68.81348	61.28252	65.66233	74.59736	74.46744	66.37397	68.11333	71.42319	72.63573	71.33572	62.68664	71.47154	74.24158	64.35320	61.18043	68.99033	65.17658	65.17828	71.88097	69.20345	73.25546	103.73780	67.05159	75.36293	80.12950	77.96621	69.03769	70.09135	78.86774	74.66802	63.61431	74.76818	65.29176	69.96564	71.28576	65.06490	63.74851	62.55193	71.32084	70.47765	65.99082	61.89965	75.07221	86.92928	72.31168	67.87125	71.86306	75.92021	74.43069	74.06528	66.99185	70.45167	54.54038	61.18286	65.32533	62.60370	68.20814	66.64779	59.00509	62.82897	62.38643	67.50954	66.82999
A26A1	64.55132	71.03593	61.28361	63.37952	66.16459	72.36303	65.30563	61.39660	58.95061	65.65044	60.66780	61.70957	59.47162	63.67523	72.83018	62.40050	65.17709	64.88587	58.36486	80.15242	68.55515	62.80584	65.87198	66.51140	80.23827	73.10252	72.12740	74.08974	57.21408	73.52246	78.68336	68.54187	76.58774	60.36852	66.16051	59.57924	65.16412	58.55581	64.11060	54.48622	81.36368	70.19476	56.77454	68.85350	65.47591	62.06735	62.84012	61.79833	62.67285	54.60416	66.98585	59.55083	68.83313	70.69958	64.84106	69.45752	78.11264	61.50661	67.52583	65.20406	65.97617	72.17638	69.89931	69.24882	66.52153	68.93401	70.06615	65.22685	60.99287	83.95238	67.38321	79.51251	71.77770	67.61562	74.79311	63.72667	67.26440	62.52534	60.50792	60.27297	61.66440	63.55247	56.46172	60.11586	75.99278	68.39457	67.39795	62.36613	68.59732	71.77732	72.88620	73.68642	56.99184	63.73898	68.66551	67.23112	68.13003	62.84387	59.68383	65.23580	64.55921	65.05376	67.81451	117.86740	72.80888	71.17003	76.74516	76.74588	71.79079	71.93520	75.36884	77.70180	65.91579	63.88483	62.88486	73.63818	70.36484	73.30153	58.93116	66.66887	60.78986	57.40200	65.50903	59.88911	78.60060	84.55709	80.22562	72.19923	70.09793	74.03123	59.91133	70.03424	76.19406	67.58575	53.25567	62.71857	70.44720	59.43178	56.12112	70.34036	62.61597	65.13914	61.04878	64.01830	62.57026
A26B1	57.29808	70.17850	65.27797	50.81472	52.81135	63.78223	65.24652	57.24791	60.30733	63.95859	62.34716	52.91399	59.76956	62.68080	55.95761	53.87509	62.52782	57.52202	59.01538	70.38113	65.81904	72.66209	70.92041	64.93957	78.24572	75.17036	70.18301	61.82309	63.07059	69.52827	76.29926	72.18565	67.72517	62.87524	54.05753	66.77421	67.17140	59.86135	62.27068	53.95000	75.20690	67.83342	80.11066	70.70233	70.11110	56.70157	61.42022	73.19990	71.74355	55.91912	66.30814	55.83378	61.18243	68.53109	70.22430	58.58428	74.79515	57.37943	74.39492	70.44504	69.95300	75.82304	69.38116	57.97744	51.32714	74.84216	67.67490	71.88820	69.58510	81.48514	72.88184	82.00147	55.92359	61.78386	72.49412	79.25964	74.97388	59.99926	59.78051	74.36534	55.74921	62.76185	60.06883	54.19473	62.04702	66.10615	53.69729	59.74035	69.63441	65.32778	68.71057	64.04971	70.21349	71.02561	71.35813	65.22906	64.22168	72.55596	54.51381	58.83422	71.51662	66.14920	75.88432	109.19080	64.20638	74.26225	57.32337	72.06637	55.29786	68.12988	70.94062	64.80984	74.86996	71.88435	68.81399	68.66465	58.59450	56.08224	54.61717	60.23008	67.19951	61.12390	77.94355	58.35342	82.00255	72.18835	69.72543	65.16534	81.95395	83.22943	71.53840	69.71984	76.70113	67.04541	60.45274	56.74057	59.53376	57.99358	67.41944	73.47861	66.71329	65.59566	63.98689	59.39391	60.83633

	GSM907203	GSM907204	GSM907205	GSM907206	GSM907207	GSM907208	GSM907209	GSM907210	GSM907211	GSM907212	GSM907213	GSM907214	GSM907215	GSM907216	GSM907217	GSM907218	GSM907219	GSM907220	GSM907221	GSM907222	GSM907223	GSM907224	GSM907225	GSM907226	GSM907227	GSM907229	GSM907230	GSM907231	GSM907232	GSM907233	GSM907234	GSM907235	GSM907236	GSM907237	GSM907238	GSM907239	GSM907240	GSM907241	GSM907242	GSM907244	GSM907245	GSM907246	GSM907247	GSM907248	GSM907249	GSM907250	GSM907251	GSM907252	GSM907253	GSM907254	GSM907255	GSM907256	GSM907257	GSM907258	GSM907259	GSM907260	GSM907261	GSM907262	GSM907263	GSM907264	GSM907265	GSM907266	GSM907267	GSM907268	GSM907269	GSM907270	GSM907271	GSM907272	GSM907273	GSM907274	GSM907275	GSM907276	GSM907277	GSM907279	GSM907280	GSM907281	GSM907282	GSM907283	GSM907284	GSM907285	GSM907286	GSM907287	GSM907288	GSM907289	GSM907290	GSM907291	GSM907292	GSM907293	GSM907294	GSM907295	GSM907296	GSM907297	GSM907298	GSM907299	GSM907300	GSM907301	GSM907303	GSM907304	GSM907305	GSM907306	GSM907307	GSM907308	GSM907309	GSM907311	GSM907312	GSM907313	GSM907314	GSM907315	GSM907316	GSM907317	GSM907318	GSM907319	GSM907320	GSM907321	GSM907322	GSM907323	GSM907324	GSM907325	GSM907326	GSM907327	GSM907328	GSM907329	GSM907330	GSM907331	GSM907332	GSM907333	GSM907334	GSM907335	GSM907336	GSM907337	GSM907338	GSM907339	GSM907340	GSM907341	GSM907342	GSM907343	GSM907344	GSM907345	GSM907346	GSM907347
7A5	65.29057	62.31787	61.56281	60.84670	64.96912	74.80866	58.76390	54.23415	76.22506	62.10956	62.69334	58.54863	58.06770	56.97955	66.10465	59.20961	60.72915	70.62639	56.80436	64.56814	78.15814	74.49504	68.60240	58.16958	69.36259	63.71593	67.94057	63.96039	69.34713	61.68852	64.81268	66.01112	54.25367	60.50505	52.44871	64.53335	64.49588	55.05366	58.81314	61.39533	57.68219	55.76287	71.09457	56.43701	59.89408	56.56976	59.93680	49.85187	54.92993	58.41692	65.41371	60.96426	53.63340	72.56416	60.65953	67.16879	64.73169	60.70858	67.72549	63.90305	73.16888	67.28812	65.36741	64.21497	62.65029	65.27583	63.82570	55.30007	68.25024	76.27230	67.45269	57.50999	54.90535	63.92560	53.28917	59.47027	60.14693	52.30537	64.39246	62.58740	54.98512	53.17781	69.94141	61.37391	69.21944	82.10519	71.24609	71.40573	58.23240	58.83361	63.89175	69.13395	53.80500	64.73736	62.65997	51.36032	57.46158	51.36549	64.68721	97.19249	71.14939	66.95348	61.36636	67.49792	74.79422	78.13251	69.59505	65.18533	77.76862	52.28429	59.91814	53.11614	69.76200	53.14492	56.84196	58.75380	65.36099	63.83615	60.84842	66.04089	83.26381	59.23740	74.16775	61.20929	67.23274	57.53767	69.77493	68.28503	64.96378	62.29540	56.46409	62.36212	59.65278	56.93419	65.74560	61.72684	58.14715	61.03170	65.01752	61.39564
A1BG	81.10231	69.69264	70.10897	60.96588	70.82362	76.30508	70.42997	67.50185	76.48309	61.57887	67.03207	64.97902	69.26588	83.93068	70.15062	66.58295	61.78551	65.42224	64.16644	79.09004	83.50323	81.12671	81.01392	72.29181	80.56789	78.99736	71.48633	71.16487	66.71101	77.72713	82.06836	74.88272	61.67918	68.57768	84.36162	74.97314	72.11663	71.91394	64.37760	75.82329	75.45969	76.18250	74.59608	69.26941	72.03682	65.07060	74.67287	56.66161	58.38717	70.65753	67.79871	72.36040	71.45992	70.08684	80.73891	66.50095	76.84919	72.31776	57.76955	71.16707	86.66562	75.96875	72.05340	76.28433	67.46185	72.48373	91.04869	91.42743	77.57180	73.06989	87.32039	84.26827	72.42001	71.21426	71.84113	73.13554	70.46868	72.70982	80.95490	79.13446	66.58790	79.89113	96.21786	91.14946	75.36514	72.49816	79.20798	79.10893	93.33739	74.80870	78.84186	74.66008	70.94264	72.85101	83.05211	78.15770	88.00652	66.82336	70.21127	114.88910	77.84131	76.33004	82.19858	80.47512	77.90018	87.08379	66.72905	79.18275	79.31148	76.07393	83.02915	86.19357	79.53725	66.15965	74.00019	72.74054	66.68317	81.21529	65.37389	85.47658	86.88130	83.30402	86.10332	68.85721	72.92045	80.97088	81.10208	74.31165	77.06239	68.13811	62.34427	57.07580	72.13431	70.49693	76.94215	71.93469	76.30377	69.85197	76.24279	69.48135
A1CF	81.45553	67.15081	70.21436	75.43973	67.28829	73.51493	60.10391	70.13483	68.08152	59.69571	64.44305	60.67877	72.47640	81.70650	68.37206	62.75688	71.30367	67.88377	68.01675	67.83726	71.20699	73.15218	74.42257	68.71795	72.59103	74.54482	78.35299	75.04034	74.45348	68.90015	70.89513	69.07249	70.32151	63.73153	71.10522	62.91788	62.84414	61.77620	61.93284	68.96399	69.64839	68.13452	69.69202	64.68788	65.20570	62.60467	66.52625	60.81643	66.06789	68.30403	70.51469	62.32861	76.98298	59.16469	70.89976	64.99240	67.00079	79.63667	64.65726	67.29628	72.93102	68.77385	74.99313	71.86140	69.23189	67.93631	74.35098	75.42151	73.64401	74.73088	71.01246	69.17301	63.49906	67.89543	60.09656	70.10548	69.03780	71.13000	64.23296	68.81348	61.28252	65.66233	74.59736	74.46744	66.37397	68.11333	71.42319	72.63573	71.33572	62.68664	71.47154	74.24158	64.35320	61.18043	68.99033	65.17658	71.88097	69.20345	73.25546	103.73780	67.05159	75.36293	80.12950	69.03769	70.09135	78.86774	74.66802	63.61431	74.76818	65.29176	69.96564	71.28576	65.06490	63.74851	62.55193	71.32084	70.47765	65.99082	61.89965	75.07221	86.92928	72.31168	67.87125	71.86306	75.92021	74.43069	74.06528	66.99185	70.45167	54.54038	61.18286	65.32533	62.60370	68.20814	66.64779	59.00509	62.82897	62.38643	67.50954	66.82999
A26A1	64.55132	71.03593	61.28361	63.37952	66.16459	72.36303	65.30563	61.39660	58.95061	65.65044	60.66780	61.70957	59.47162	63.67523	72.83018	62.40050	65.17709	64.88587	58.36486	80.15242	68.55515	62.80584	65.87198	66.51140	80.23827	72.12740	74.08974	57.21408	73.52246	78.68336	68.54187	76.58774	60.36852	66.16051	59.57924	65.16412	58.55581	64.11060	54.48622	70.19476	56.77454	68.85350	65.47591	62.06735	62.84012	61.79833	62.67285	54.60416	66.98585	59.55083	68.83313	70.69958	64.84106	69.45752	78.11264	61.50661	67.52583	65.20406	65.97617	72.17638	69.89931	69.24882	66.52153	68.93401	70.06615	65.22685	60.99287	83.95238	67.38321	79.51251	71.77770	67.61562	74.79311	67.26440	62.52534	60.50792	60.27297	61.66440	63.55247	56.46172	60.11586	75.99278	68.39457	67.39795	62.36613	68.59732	71.77732	72.88620	73.68642	56.99184	63.73898	68.66551	67.23112	68.13003	62.84387	59.68383	64.55921	65.05376	67.81451	117.86740	72.80888	71.17003	76.74516	71.79079	71.93520	75.36884	77.70180	65.91579	63.88483	62.88486	73.63818	70.36484	73.30153	58.93116	66.66887	60.78986	57.40200	65.50903	59.88911	78.60060	84.55709	80.22562	72.19923	70.09793	74.03123	59.91133	70.03424	76.19406	67.58575	53.25567	62.71857	70.44720	59.43178	56.12112	70.34036	62.61597	65.13914	61.04878	64.01830	62.57026
A26B1	57.29808	70.17850	65.27797	50.81472	52.81135	63.78223	65.24652	57.24791	60.30733	63.95859	62.34716	52.91399	59.76956	62.68080	55.95761	53.87509	62.52782	57.52202	59.01538	70.38113	65.81904	72.66209	70.92041	64.93957	78.24572	70.18301	61.82309	63.07059	69.52827	76.29926	72.18565	67.72517	62.87524	54.05753	66.77421	67.17140	59.86135	62.27068	53.95000	67.83342	80.11066	70.70233	70.11110	56.70157	61.42022	73.19990	71.74355	55.91912	66.30814	55.83378	61.18243	68.53109	70.22430	58.58428	74.79515	57.37943	74.39492	70.44504	69.95300	75.82304	69.38116	57.97744	51.32714	74.84216	67.67490	71.88820	69.58510	81.48514	72.88184	82.00147	55.92359	61.78386	72.49412	74.97388	59.99926	59.78051	74.36534	55.74921	62.76185	60.06883	54.19473	62.04702	66.10615	53.69729	59.74035	69.63441	65.32778	68.71057	64.04971	70.21349	71.02561	71.35813	65.22906	64.22168	72.55596	54.51381	71.51662	66.14920	75.88432	109.19080	64.20638	74.26225	57.32337	55.29786	68.12988	70.94062	64.80984	74.86996	71.88435	68.81399	68.66465	58.59450	56.08224	54.61717	60.23008	67.19951	61.12390	77.94355	58.35342	82.00255	72.18835	69.72543	65.16534	81.95395	83.22943	71.53840	69.71984	76.70113	67.04541	60.45274	56.74057	59.53376	57.99358	67.41944	73.47861	66.71329	65.59566	63.98689	59.39391	60.83633

	7A5	A1BG	A1CF	A26A1	A26B1	A26C1B	A26C3	A2BP1	A2M	A2ML1	A3GALT2	A4GALT	A4GNT	AAA1	AAAS	AACS	AACSL	AADAC	AADACL1	AADACL2	AADACL3	AADACL4	AADAT	AAK1	AAMP	AANAT	AARS	AARS2	AARSD1	AASDH	AASDHPPT	AASS	AATF	AATK	ABAT	ABCA1	ABCA10	ABCA11	ABCA12	ABCA13	ABCA2	ABCA3	ABCA4	ABCA5	ABCA6	ABCA7	ABCA8	ABCA9	ABCB1	ABCB10	ABCB11	ABCB4	ABCB5	ABCB6	ABCB7	ABCB8	ABCB9	ABCC1	ABCC10	ABCC11	ABCC12	ABCC13	ABCC2	ABCC3	ABCC4	ABCC5	ABCC6	ABCC8	ABCC9	ABCD1	ABCD2	ABCD3	ABCD4	ABCE1	ABCF1	ABCF2	ABCF3	ABCG1	ABCG2	ABCG4	ABCG5	ABCG8	ABHD1	ABHD10	ABHD11	ABHD12	ABHD12B	ABHD13	ABHD14A	ABHD14B	ABHD2	ABHD3	ABHD4	ABHD5	ABHD6	ABHD7	ABHD8	ABHD9	ABI1	ABI2	ABI3	ABI3BP	ABL1	ABL2	ABLIM1	ABLIM2	ABLIM3	ABO	ABP1	ABR	ABRA	ABT1	ABTB1	ABTB2	ACAA1	ACAA2	ACACA	ACACB	ACAD10	ACAD11	ACAD8	ACAD9	ACADL	ACADM	ACADS	ACADSB	ACADVL	ACAN	ACAP1	ACAP3	ACAT1	ACAT2	ACBD3	ACBD4	ACBD5	ACBD6	ACBD7	ACCN1	ACCN2	ACCN3	ACCN4	ACCN5	ACD	ACE	ACE2	ACHE	ACIN1	ACLY	ACMSD	ACN9	ACO1	ACO2	ACOT1	ACOT11	ACOT12	ACOT2	ACOT4	ACOT6	ACOT7	ACOT8	ACOT9	ACOX1	ACOX2	ACOX3	ACOXL	ACP1	ACP2	ACP5	ACP6	ACPL2	ACPP	ACPT	ACR	ACRBP	ACRC	ACRV1	ACSBG1	ACSBG2	ACSF3	ACSL1	ACSL3	ACSL4	ACSL5	ACSL6	ACSM1	ACSM2A	ACSM2B	ACSM3	ACSM4	ACSM5	ACSS1	ACSS2	ACSS3	ACTA1	ACTA2	ACTB	ACTC1	ACTG1	ACTG2	ACTL6A	ACTL6B	ACTL7A	ACTL7B	ACTL8	ACTN1	ACTN2	ACTN3	ACTN4	ACTR10	ACTR1A	ACTR1B	ACTR2	ACTR3	ACTR3B	ACTR5	ACTR6	ACTR8	ACTRT1	ACVR1	ACVR1B	ACVR1C	ACVR2A	ACVR2B	ACVRL1	ACY1	ACY3	ACYP1	ACYP2	ADA	ADAD1	ADAD2	ADAL	ADAM10	ADAM11	ADAM12	ADAM15	ADAM17	ADAM18	ADAM19	ADAM2	ADAM20	ADAM21	ADAM22	ADAM23	ADAM28	ADAM29	ADAM30	ADAM32	ADAM33	ADAM3A	ADAM5	ADAM5P	ADAM6	ADAM7	ADAM8	ADAM9	ADAMDEC1	ADAMTS1	ADAMTS10	ADAMTS12	ADAMTS13	ADAMTS14	ADAMTS15	ADAMTS16	ADAMTS17	ADAMTS18	ADAMTS19	ADAMTS2	ADAMTS20	ADAMTS3	ADAMTS4	ADAMTS5	ADAMTS6	ADAMTS7	ADAMTS8	ADAMTS9	ADAMTSL1	ADAMTSL2	ADAMTSL3	ADAMTSL4	ADAMTSL5	ADAP2	ADAR	ADARB1	ADARB2	ADAT1	ADAT3	ADC	ADCK1	ADCK2	ADCK4	ADCK5	ADCY1	ADCY2	ADCY3	ADCY4	ADCY5	ADCY6	ADCY7	ADCY8	ADCY9	ADCYAP1	ADCYAP1R1	ADD1	ADD2	ADD3	ADFP	ADH1A	ADH1B	ADH1C	ADH4	ADH5	ADH6	ADH7	ADHFE1	ADI1	ADIG	ADIPOQ	ADIPOR1	ADIPOR2	ADK	ADM	ADM2	ADNP	ADNP2	ADO	ADORA1	ADORA2A	ADORA2B	ADORA3	ADPGK	ADPRH	ADPRHL1	ADPRHL2	ADRA1A	ADRA1B	ADRA1D	ADRA2A	ADRA2B	ADRA2C	ADRB1	ADRB2	ADRB3	ADRBK1	ADRBK2	ADRM1	ADSL	ADSS	ADSSL1	AEBP1	AEBP2	AES	AFAP1	AFAP1L1	AFAP1L2	AFAR3	AFARP1	AFF1	AFF2	AFF3	AFF4	AFG3L1	AFG3L2	AFM	AFMID	AFP	AFTPH	AGA	AGAP1	AGAP2	AGAP3	AGAP7	AGBL1	AGBL2	AGBL3	AGBL4	AGBL5	AGC1	AGER	AGFG2	AGGF1	AGK	AGL	AGMAT	AGPAT1	AGPAT2	AGPAT3	AGPAT4	AGPAT5	AGPAT6	AGPAT9	AGPS	AGR2	AGR3	AGRN	AGRP	AGT	AGTPBP1	AGTR1	AGTR2	AGTRAP	AGXT	AGXT2	AGXT2L1	AGXT2L2	AHCTF1	AHCY	AHCYL1	AHCYL2	AHDC1	AHI1	AHNAK	AHR	AHRR	AHSA1	AHSA2	AHSG	AICDA	AIF1	AIFM1	AIFM2	AIFM3	AIG1	AIM1	AIM1L	AIM2	AIP	AIPL1	AIRE	AJAP1	AK1	AK2	AK3	AK3L1	AK5	AK7	AKAP1	AKAP10	AKAP11	AKAP12	AKAP13	AKAP14	AKAP2	AKAP3	AKAP4	AKAP5	AKAP6	AKAP7	AKAP8	AKAP8L	AKAP9	AKIRIN1	AKIRIN2	AKNA	AKR1A1	AKR1B1	AKR1B10	AKR1C1	AKR1C2	AKR1C3	AKR1C4	AKR1CL1	AKR1CL2	AKR1D1	AKR7A2	AKR7A3	AKT1	AKT1S1	AKT2	AKT3	AKTIP	ALAD	ALAS1	ALAS2	ALB	ALCAM	ALDH16A1	ALDH18A1	ALDH1A1	ALDH1A2	ALDH1A3	ALDH1B1	ALDH1L1	ALDH1L2	ALDH2	ALDH3A1	ALDH3A2	ALDH3B1	ALDH3B2	ALDH4A1	ALDH5A1	ALDH6A1	ALDH7A1	ALDH8A1	ALDH9A1	ALDOA	ALDOB	ALDOC	ALG1	ALG10B	ALG11	ALG12	ALG13	ALG14	ALG2	ALG3	ALG5	ALG6	ALG8	ALG9	ALK	ALKBH1	ALKBH2	ALKBH3	ALKBH4	ALKBH5	ALKBH6	ALKBH7	ALKBH8	ALLC	ALMS1	ALOX12	ALOX12B	ALOX12P2	ALOX15	ALOX15B	ALOX5	ALOX5AP	ALOXE3	ALPI	ALPK1	ALPK2	ALPK3	ALPL	ALPP	ALPPL2	ALS2	ALS2CL	ALS2CR11	ALS2CR12	ALS2CR13	ALS2CR14	ALS2CR16	ALS2CR4	ALS2CR8	ALX3	ALX4	AMAC1	AMAC1L1	AMAC1L2	AMACR	AMBN	AMBP	AMBRA1	AMD1	AMDHD1	AMDHD2	AMELX	AMELY	AMFR	AMH	AMHR2	AMICA1	AMIGO1	AMIGO2	AMIGO3	AMMECR1	AMMECR1L	AMN	AMN1	AMOT	AMOTL1	AMOTL2	AMPD1	AMPD2	AMPD3	AMPH	AMT	AMTN	AMY1A	AMY1B	AMY1C	AMY2A	AMY2B	AMZ1	AMZ2	ANAPC1	ANAPC10	ANAPC11	ANAPC13	ANAPC2	ANAPC4	ANAPC5	ANAPC7	ANG	ANGEL1	ANGEL2	ANGPT1	ANGPT2	ANGPT4	ANGPTL1	ANGPTL2	ANGPTL3	ANGPTL4	ANGPTL5	ANGPTL6	ANGPTL7	ANK1	ANK2	ANK3	ANKAR	ANKDD1A	ANKFN1	ANKFY1	ANKH	ANKHD1	ANKHD1-EIF4EBP3	ANKK1	ANKMY1	ANKMY2	ANKRA2	ANKRD1	ANKRD10	ANKRD11	ANKRD12	ANKRD13A	ANKRD13B	ANKRD13C	ANKRD13D	ANKRD16	ANKRD17	ANKRD19	ANKRD2	ANKRD20A1	ANKRD20A3	ANKRD20B	ANKRD21	ANKRD22	ANKRD23	ANKRD24	ANKRD26	ANKRD27	ANKRD28	ANKRD29	ANKRD30A	ANKRD30B	ANKRD31	ANKRD32	ANKRD33	ANKRD34A	ANKRD34B	ANKRD34C	ANKRD35	ANKRD36	ANKRD36B	ANKRD37	ANKRD38	ANKRD39	ANKRD40	ANKRD41	ANKRD42	ANKRD43	ANKRD44	ANKRD45	ANKRD46	ANKRD47	ANKRD49	ANKRD5	ANKRD50	ANKRD53	ANKRD54	ANKRD55	ANKRD56	ANKRD57	ANKRD58	ANKRD6	ANKRD7	ANKRD9	ANKS1A	ANKS1B	ANKS3	ANKS4B	ANKS6	ANKZF1	ANLN	ANO10	ANO4	ANO5	ANO6	ANO7	ANO8	ANO9	ANP32A	ANP32B	ANP32C	ANP32D	ANP32E	ANPEP	ANRIL	ANTXR1	ANTXR2	ANTXRL	ANUBL1	ANXA1	ANXA10	ANXA11	ANXA13	ANXA2	ANXA2P1	ANXA2P3	ANXA3	ANXA4	ANXA5	ANXA6	ANXA7	ANXA8	ANXA8L2	ANXA9	AOAH	AOC2	AOC3	AOF1	AOF2	AOX1	AOX2P	AP1B1	AP1G1	AP1G2	AP1GBP1	AP1M1	AP1M2	AP1S1	AP1S2	AP1S3	AP2A1	AP2A2	AP2B1	AP2M1	AP2S1	AP3B1	AP3B2	AP3D1	AP3M1	AP3M2	AP3S1	AP3S2	AP4B1	AP4E1	AP4M1	AP4S1	APAF1	APBA1	APBA2	APBA2BP	APBA3	APBB1	APBB1IP	APBB2	APBB3	APC	APC2	APCDD1	APCDD1L	APCS	APEG1	APEH	APEX1	APEX2	APH1A	APH1B	API5	APIP	APITD1	APLN	APLNR	APLP1	APL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L3	CUL4A	CUL4B	CUL5	CUL7	CUTA	CUTC	CUTL1	CUX1	CUX2	CUZD1	CWC15	CWF19L1	CWF19L2	CX3CL1	CX3CR1	CXADR	CXCL1	CXCL10	CXCL11	CXCL12	CXCL13	CXCL14	CXCL16	CXCL17	CXCL2	CXCL3	CXCL5	CXCL6	CXCL9	CXCR3	CXCR4	CXCR5	CXCR6	CXCR7	CXORF1	CXORF12	CXORF15	CXORF20	CXORF21	CXORF22	CXORF23	CXORF24	CXORF26	CXORF27	CXORF30	CXORF34	CXORF36	CXORF38	CXORF39	CXORF40A	CXORF40B	CXORF41	CXORF42	CXORF45	CXORF48	CXORF50	CXORF55	CXORF56	CXORF57	CXORF58	CXORF59	CXORF61	CXXC1	CXXC4	CXXC5	CXXC6	CXYORF2	CYB561	CYB561D2	CYB5A	CYB5B	CYB5D1	CYB5D2	CYB5R1	CYB5R2	CYB5R3	CYB5R4	CYBA	CYBASC3	CYBB	CYBRD1	CYC1	CYCS	CYCSL1	CYFIP1	CYFIP2	CYGB	CYHR1	CYLC1	CYLC2	CYLD	CYLN2	CYORF14	CYORF15A	CYORF15B	CYORF16	CYP11A1	CYP11B1	CYP11B2	CYP17A1	CYP19A1	CYP1A1	CYP1A2	CYP1B1	CYP20A1	CYP21A2	CYP24A1	CYP26A1	CYP26B1	CYP26C1	CYP27A1	CYP27B1	CYP27C1	CYP2A13	CYP2A6	CYP2A7	CYP2B6	CYP2B7P1	CYP2C18	CYP2C19	CYP2C8	CYP2C9	CYP2D6	CYP2D7P1	CYP2E1	CYP2F1	CYP2J2	CYP2R1	CYP2S1	CYP2U1	CYP2W1	CYP39A1	CYP3A4	CYP3A43	CYP3A5	CYP3A7	CYP46A1	CYP4A11	CYP4A22	CYP4B1	CYP4F11	CYP4F12	CYP4F2	CYP4F22	CYP4F3	CYP4F8	CYP4V2	CYP4X1	CYP4Z1	CYP4Z2P	CYP51A1	CYP7A1	CYP7B1	CYP8B1	CYR61	CYS1	CYSLTR1	CYSLTR2	CYTH1	CYTH3	CYTL1	CYYR1	D21S2056E	D2HGDH	D4S234E	DAAM1	DAAM2	DAB1	DAB2	DAB2IP	DACH1	DACH2	DACT1	DACT2	DACT3	DAD1	DAG1	DAGLA	DAGLB	DAK	DALRD3	DAND5	DAO	DAOA	DAP	DAP3	DAPK1	DAPK2	DAPK3	DAPL1	DAPP1	DARC	DARS	DARS2	DAXX	DAZ1	DAZ2	DAZ4	DAZAP1	DAZAP2	DAZL	DBC1	DBF4	DBF4B	DBH	DBI	DBN1	DBNDD1	DBNDD2	DBNL	DBP	DBR1	DBT	DBX1	DBX2	DC2	DC36	DCAKD	DCAMKL3	DCBLD1	DCBLD2	DCC	DCD	DCDC1	DCDC2	DCDC2B	DCDC5	DCHS1	DCHS2	DCI	DCK	DCLK1	DCLK2	DCLRE1A	DCLRE1B	DCLRE1C	DCN	DCP1A	DCP1B	DCP2	DCPS	DCST1	DCST2	DCT	DCTD	DCTN1	DCTN2	DCTN3	DCTN4	DCTN5	DCTN6	DCUN1D1	DCUN1D2	DCUN1D3	DCUN1D4	DCUN1D5	DCX	DCXR	DDA1	DDAH1	DDAH2	DDB1	DDB2	DDC	DDEF1	DDEF2	DDHD1	DDHD2	DDI1	DDI2	DDIT3	DDIT4	DDIT4L	DDN	DDO	DDOST	DDR1	DDR2	DDT	DDX1	DDX10	DDX11	DDX12	DDX17	DDX18	DDX19-DDX19L	DDX19A	DDX19B	DDX20	DDX21	DDX23	DDX24	DDX25	DDX26B	DDX27	DDX28	DDX31	DDX39	DDX3X	DDX3Y	DDX4	DDX41	DDX42	DDX43	DDX46	DDX47	DDX49	DDX5	DDX50	DDX51	DDX52	DDX53	DDX54	DDX55	DDX56	DDX58	DDX59	DDX6	DDX60	DEADC1	DEAF1	DEC1	DECR1	DECR2	DEDD	DEDD2	DEF6	DEF8	DEFA1	DEFA3	DEFA4	DEFA5	DEFA6	DEFB1	DEFB103A	DEFB103B	DEFB104A	DEFB104B	DEFB105A	DEFB106A	DEFB106B	DEFB107A	DEFB108B	DEFB109	DEFB110	DEFB111	DEFB112	DEFB114	DEFB118	DEFB119	DEFB121	DEFB122	DEFB123	DEFB124	DEFB125	DEFB126	DEFB127	DEFB128	DEFB129	DEFB131	DEFB134	DEFB136	DEFB137	DEFB32	DEFB4	DEGS1	DEGS2	DEK	DENND1A	DENND1B	DENND1C	DENND2A	DENND2C	DENND2D	DENND3	DENND4A	DENND4C	DENND5B	DENR	DEPDC1	DEPDC1B	DEPDC4	DEPDC5	DEPDC6	DEPDC7	DERA	DERL1	DERL2	DERL3	DERPC	DES	DET1	DEXI	DFFA	DFFB	DFNA5	DFNB31	DFNB59	DGAT1	DGAT2	DGAT2L3	DGAT2L4	DGAT2L6	DGCR14	DGCR2	DGCR5	DGCR6	DGCR8	DGKA	DGKB	DGKD	DGKE	DGKG	DGKH	DGKI	DGKK	DGKQ	DGKZ	DGUOK	DHCR24	DHCR7	DHDDS	DHDH	DHFR	DHFRL1	DHH	DHODH	DHPS	DHRS1	DHRS12	DHRS13	DHRS2	DHRS3	DHRS4	DHRS4L2	DHRS7	DHRS7B	DHRS8	DHRS9	DHRSX	DHTKD1	DHX15	DHX16	DHX29	DHX30	DHX32	DHX33	DHX34	DHX35	DHX36	DHX37	DHX38	DHX40	DHX57	DHX58	DHX8	DHX9	DIABLO	DIAPH1	DIAPH2	DIAPH3	DICER1	DIDO1	DIMT1L	DIO1	DIO2	DIO3	DIP2A	DIP2B	DIP2C	DIRAS1	DIRAS2	DIRAS3	DIRC1	DIRC2	DIS3	DIS3L	DIS3L2	DISC1	DISC2	DISP1	DISP2	DIXDC1	DJ222E13.2	DJ341D10.1	DKC1	DKFZP434B0335	DKFZP434B061	DKFZP434E1119	DKFZP434I0714	DKFZP434I1020	DKFZP434J1015	DKFZP434K191	DKFZP434L187	DKFZP434M131	DKFZP434N035	DKFZP434P211	DKFZP451A211	DKFZP451M2119	DKFZP564C196	DKFZP564J102	DKFZP564N2472	DKFZP564O0523	DKFZP564O0823	DKFZP586H2123	DKFZP586I1420	DKFZP667M2411	DKFZP686C2281	DKFZP686D0972	DKFZP686E2158	DKFZP686E2433	DKFZP686I15217	DKFZP686J0529	DKFZP686K1684	DKFZP686O1327	DKFZP686O24166	DKFZP761E198	DKFZP761O2018	DKFZP761P0423	DKFZP779B1634	DKFZP781G0119	DKFZP781N1041	DKK1	DKK2	DKK3	DKK4	DKKL1	DLAT	DLC1	DLD	DLEC1	DLEU1	DLEU2	DLEU2L	DLEU7	DLG1	DLG2	DLG3	DLG4	DLG5	DLG7	DLGAP1	DLGAP2	DLGAP3	DLGAP4	DLK1	DLK2	DLL1	DLL3	DLL4	DLST	DLX1	DLX2	DLX3	DLX4	DLX5	DLX6	DMAP1	DMBT1	DMBX1	DMC1	DMD	DMGDH	DMKN	DMP1	DMPK	DMRT1	DMRT2	DMRT3	DMRTA1	DMRTA2	DMRTB1	DMRTC2	DMTF1	DMWD	DMXL1	DMXL2	DNA2	DNAH1	DNAH10	DNAH11	DNAH12L	DNAH17	DNAH2	DNAH3	DNAH5	DNAH7	DNAH8	DNAH9	DNAHL1	DNAI1	DNAI2	DNAJA1	DNAJA2	DNAJA3	DNAJA4	DNAJB1	DNAJB11	DNAJB12	DNAJB13	DNAJB14	DNAJB2	DNAJB4	DNAJB5	DNAJB6	DNAJB7	DNAJB8	DNAJB9	DNAJC1	DNAJC10	DNAJC11	DNAJC12	DNAJC13	DNAJC14	DNAJC15	DNAJC16	DNAJC17	DNAJC18	DNAJC19	DNAJC2	DNAJC21	DNAJC22	DNAJC24	DNAJC25	DNAJC27	DNAJC28	DNAJC3	DNAJC4	DNAJC5	DNAJC5B	DNAJC5G	DNAJC6	DNAJC7	DNAJC8	DNAJC9	DNAL1	DNAL4	DNALI1	DNASE1	DNASE1L1	DNASE1L2	DNASE1L3	DNASE2	DNASE2B	DNCL1	DNCL2A	DND1	DNER	DNHD1	DNHD2	DNHL1	DNLZ	DNM1	DNM1L	DNM2	DNM3	DNMBP	DNMT1	DNMT3A	DNMT3B	DNMT3L	DNPEP	DNTT	DNTTIP1	DNTTIP2	DOC2A	DOC2B	DOCK1	DOCK10	DOCK11	DOCK2	DOCK3	DOCK4	DOCK5	DOCK6	DOCK7	DOCK8	DOCK9	DOHH	DOK1	DOK2	DOK3	DOK4	DOK5	DOK6	DOK7	DOLK	DOLPP1	DOM3Z	DONSON	DOPEY1	DOPEY2	DOT1L	DPAGT1	DPCR1	DPEP1	DPEP2	DPEP3	DPF1	DPF2	DPF3	DPH1	DPH2	DPH3	DPH5	DPM1	DPM2	DPM3	DPP10	DPP3	DPP4	DPP6	DPP7	DPP8	DPP9	DPPA2	DPPA3	DPPA4	DPPA5	DPRX	DPRXP4	DPT	DPY19L1	DPY19L2	DPY19L2P2	DPY19L2P4	DPY19L3	DPY19L4	DPY30	DPYD	DPYS	DPYSL2	DPYSL3	DPYSL4	DPYSL5	DQ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	GPR114	GPR115	GPR116	GPR119	GPR12	GPR120	GPR123	GPR124	GPR125	GPR126	GPR128	GPR132	GPR133	GPR135	GPR137	GPR137B	GPR137C	GPR139	GPR141	GPR142	GPR143	GPR144	GPR146	GPR148	GPR149	GPR15	GPR150	GPR151	GPR152	GPR153	GPR155	GPR156	GPR157	GPR158	GPR158L1	GPR160	GPR161	GPR162	GPR17	GPR171	GPR172A	GPR172B	GPR173	GPR174	GPR175	GPR176	GPR177	GPR179	GPR18	GPR180	GPR182	GPR19	GPR20	GPR21	GPR22	GPR25	GPR26	GPR27	GPR3	GPR31	GPR32	GPR34	GPR35	GPR37	GPR37L1	GPR39	GPR4	GPR42	GPR44	GPR45	GPR50	GPR52	GPR55	GPR56	GPR6	GPR61	GPR62	GPR63	GPR64	GPR65	GPR68	GPR75	GPR77	GPR78	GPR81	GPR82	GPR83	GPR84	GPR85	GPR87	GPR88	GPR89A	GPR89B	GPR89C	GPR97	GPR98	GPRASP1	GPRASP2	GPRC5A	GPRC5B	GPRC5C	GPRC5D	GPRC6A	GPRIN1	GPRIN3	GPS1	GPS2	GPSM1	GPSM2	GPSM3	GPSN2	GPT	GPT2	GPX1	GPX2	GPX3	GPX4	GPX5	GPX6	GPX7	GRAMD1A	GRAMD1C	GRAMD2	GRAMD3	GRAMD4	GRAP	GRAP2	GRASP	GRB10	GRB14	GRB2	GRB7	GREB1	GREM1	GREM2	GRHL1	GRHL2	GRHL3	GRHPR	GRIA1	GRIA2	GRIA3	GRIA4	GRID1	GRID2	GRIK1	GRIK2	GRIK3	GRIK4	GRIK5	GRIN1	GRIN2A	GRIN2B	GRIN2C	GRIN2D	GRIN3A	GRIN3B	GRINA	GRINL1A	GRIP1	GRIP2	GRIPAP1	GRK1	GRK4	GRK5	GRK6	GRK7	GRLF1	GRM1	GRM2	GRM3	GRM4	GRM5	GRM6	GRM7	GRM8	GRN	GRP	GRPEL1	GRPEL2	GRPR	GRRP1	GRSF1	GRTP1	GRWD1	GRXCR1	GSC	GSC2	GSDM1	GSDMA	GSDMB	GSDMC	GSDMD	GSG1	GSG1L	GSG2	GSK3A	GSK3B	GSN	GSPT1	GSPT2	GSR	GSS	GSTA1	GSTA2	GSTA3	GSTA4	GSTA5	GSTCD	GSTK1	GSTM1	GSTM1L	GSTM2	GSTM3	GSTM4	GSTM5	GSTO1	GSTO2	GSTP1	GSTT1	GSTT2	GSTTP1	GSTTP2	GSTZ1	GSX1	GSX2	GTDC1	GTF2A1	GTF2A1L	GTF2A2	GTF2B	GTF2E1	GTF2E2	GTF2F1	GTF2F2	GTF2H1	GTF2H2	GTF2H3	GTF2H4	GTF2H5	GTF2I	GTF2IP1	GTF2IRD1	GTF2IRD2	GTF2IRD2B	GTF2IRD2P	GTF3A	GTF3C1	GTF3C2	GTF3C3	GTF3C4	GTF3C5	GTF3C6	GTPBP1	GTPBP10	GTPBP2	GTPBP3	GTPBP4	GTPBP5	GTPBP6	GTPBP8	GTSCR1	GTSE1	GTSF1	GTSF1L	GUCA1A	GUCA1B	GUCA1C	GUCA2A	GUCA2B	GUCY1A2	GUCY1A3	GUCY1B2	GUCY1B3	GUCY2C	GUCY2D	GUCY2E	GUCY2F	GUF1	GUK1	GULP1	GUSB	GUSBL1	GUSBL2	GVIN1	GYG1	GYG2	GYLTL1B	GYPA	GYPB	GYPC	GYPE	GYS1	GYS2	GZF1	GZMA	GZMB	GZMH	GZMK	GZMM	H19	H1F0	H1FNT	H1FOO	H1FX	H2AFB1	H2AFB2	H2AFB3	H2AFJ	H2AFV	H2AFX	H2AFY	H2AFY2	H2AFZ	H2BFM	H2BFWT	H2BFXP	H3F3A	H3F3B	H6PD	HAAO	HABP2	HABP4	HACE1	HACL1	HADH	HADH2	HADHA	HADHB	HAGH	HAGHL	HAL	HAMP	HAND1	HAND2	HAO1	HAO2	HAP1	HAPLN1	HAPLN2	HAPLN3	HAPLN4	HAR1A	HARBI1	HARS	HARS2	HAS1	HAS2	HAS3	HAT1	HAVCR2	HAX1	HBA2	HBB	HBBP1	HBD	HBE1	HBEGF	HBG1	HBG2	HBM	HBP1	HBQ1	HBS1L	HBXIP	HBZ	HCCA2	HCCS	HCFC1	HCFC1R1	HCFC2	HCG18	HCG22	HCG27	HCG2P7	HCG3	HCG4	HCG4P6	HCG9	HCK	HCLS1	HCN1	HCN2	HCN3	HCN4	HCP5	HCRT	HCRTR1	HCRTR2	HCST	HDAC1	HDAC10	HDAC11	HDAC2	HDAC3	HDAC4	HDAC5	HDAC6	HDAC7A	HDAC8	HDAC9	HDC	HDDC2	HDDC3	HDGF	HDGF2	HDGFL1	HDGFRP3	HDHD1A	HDHD2	HDHD3	HDLBP	HDX	HEATR1	HEATR2	HEATR3	HEATR4	HEATR5B	HEATR6	HEBP1	HEBP2	HECA	HECTD1	HECTD2	HECTD3	HECW1	HECW2	HEG1	HEL308	HELB	HELLS	HELT	HELZ	HEMGN	HEMK1	HEPACAM	HEPACAM2	HEPH	HERC1	HERC2	HERC2P2	HERC2P4	HERC3	HERC4	HERC5	HERC6	HERPUD1	HERPUD2	HERV-FRD	HES1	HES2	HES3	HES4	HES5	HES6	HES7	HESX1	HEXA	HEXB	HEXDC	HEXIM1	HEXIM2	HEY1	HEY2	HEYL	HFE	HFE2	HFM1	HGD	HGF	HGFAC	HGS	HGSNAT	HHAT	HHATL	HHCM	HHEX	HHIP	HHIPL1	HHIPL2	HHLA1	HHLA2	HHLA3	HIAT1	HIATL1	HIBADH	HIBCH	HIC1	HIC2	HIF1A	HIF1AN	HIF3A	HIG2	HIGD1A	HIGD1B	HIGD2A	HIGD2BP	HILS1	HINT1	HINT2	HINT3	HIP1	HIP1R	HIP2	HIPK1	HIPK2	HIPK3	HIPK4	HIRA	HIRIP3	HISPPD1	HISPPD2A	HIST1H1A	HIST1H1B	HIST1H1C	HIST1H1D	HIST1H1E	HIST1H1T	HIST1H2AA	HIST1H2AB	HIST1H2AC	HIST1H2AD	HIST1H2AE	HIST1H2AG	HIST1H2AH	HIST1H2AI	HIST1H2AJ	HIST1H2AK	HIST1H2AM	HIST1H2BA	HIST1H2BB	HIST1H2BC	HIST1H2BD	HIST1H2BE	HIST1H2BF	HIST1H2BG	HIST1H2BH	HIST1H2BI	HIST1H2BJ	HIST1H2BK	HIST1H2BL	HIST1H2BM	HIST1H2BN	HIST1H2BO	HIST1H3A	HIST1H3B	HIST1H3C	HIST1H3D	HIST1H3F	HIST1H3G	HIST1H3H	HIST1H3I	HIST1H3J	HIST1H4A	HIST1H4B	HIST1H4C	HIST1H4D	HIST1H4E	HIST1H4F	HIST1H4G	HIST1H4H	HIST1H4I	HIST1H4J	HIST1H4K	HIST1H4L	HIST2H2AA3	HIST2H2AB	HIST2H2AC	HIST2H2BE	HIST2H2BF	HIST2H3C	HIST2H4A	HIST3H2A	HIST3H2BB	HIST3H3	HIST4H4	HIT-40	HIVEP1	HIVEP2	HIVEP3	HJURP	HK1	HK2	HK3	HKDC1	HKR1	HLA-A	HLA-A29.1	HLA-B	HLA-C	HLA-DMA	HLA-DMB	HLA-DOA	HLA-DOB	HLA-DPA1	HLA-DPB1	HLA-DPB2	HLA-DQA1	HLA-DQA2	HLA-DQB1	HLA-DQB2	HLA-DRA	HLA-DRB1	HLA-DRB3	HLA-DRB4	HLA-DRB5	HLA-DRB6	HLA-E	HLA-F	HLA-G	HLA-H	HLCS	HLF	HLTF	HLX	HLXB9	HM13	HMBOX1	HMBS	HMCN1	HMG1L1	HMG20A	HMG20B	HMG2L1	HMG4L	HMGA1	HMGA2	HMGB1	HMGB2	HMGB3	HMGB4	HMGCL	HMGCLL1	HMGCR	HMGCS1	HMGCS2	HMGN1	HMGN2	HMGN3	HMGN4	HMHA1	HMHB1	HMMR	HMOX1	HMOX2	HMP19	HMX1	HMX2	HMX3	HN1	HN1L	HNF4A	HNF4G	HNMT	HNRNPA0	HNRNPA1	HNRNPA3	HNRNPA3P1	HNRNPAB	HNRNPC	HNRNPCL1	HNRNPD	HNRNPF	HNRNPH2	HNRNPL	HNRNPU	HNRNPUL2	HNRPA1L-2	HNRPA1P4	HNRPA2B1	HNRPC	HNRPDL	HNRPH1	HNRPH3	HNRPK	HNRPLL	HNRPM	HNRPR	HNRPUL1	HNRPUL2	HNT	HOM-TES-103	HOMER1	HOMER2	HOMER3	HOMEZ	HOOK1	HOOK2	HOOK3	HOPX	HORMAD1	HORMAD2	HOXA1	HOXA10	HOXA11	HOXA13	HOXA2	HOXA3	HOXA4	HOXA5	HOXA6	HOXA7	HOXA9	HOXB1	HOXB13	HOXB2	HOXB3	HOXB4	HOXB5	HOXB6	HOXB7	HOXB8	HOXB9	HOXC10	HOXC11	HOXC12	HOXC13	HOXC4	HOXC5	HOXC6	HOXC8	HOXC9	HOXD1	HOXD10	HOXD11	HOXD12	HOXD13	HOXD3	HOXD4	HOXD8	HOXD9	HP	HP1BP3	HPCA	HPCAL1	HPCAL4	HPD	HPDL	HPGD	HPN	HPR	HPRT1	HPS1	HPS3	HPS4	HPS5	HPS6	HPSE	HPSE2	HPX	HR	HRAS	HRASLS	HRASLS2	HRASLS3	HRASLS5	HRB	HRC	HRCT1	HRES1	HRG	HRH1	HRH2	HRH3	HRH4	HRIHFB2122	HRK	HRNBP3	HRNR	HRSP12	HS.100261	HS.100866	HS.100938	HS.101139	HS.101248	HS.101433	HS.101439	HS.101773	HS.102428	HS.102896	HS.10305	HS.103146	HS.103173	HS.103320	HS.103334	HS.103355	HS.103426	HS.104091	HS.104447	HS.104677	HS.104733	HS.104751	HS.104774	HS.104789	HS.104792	HS.104807	HS.104823	HS.104829	HS.104881	HS.104943	HS.104990	HS.105053	HS.105081	HS.105102	HS.105147	HS.105423	HS.105473	HS.105551	HS.105575	HS.105618	HS.105636	HS.105791	HS.105821	HS.105830	HS.105962	HS.106234	HS.106296	HS.106359	HS.106532	HS.106554	HS.107418	HS.107801	HS.108226	HS.108479	HS.10862	HS.110376	HS.110524	HS.110783	HS.111539	HS.112050	HS.112482	HS.112582	HS.112586	HS.112611	HS.112620	HS.112626	HS.112662	HS.112679	HS.112680	HS.112720	HS.112731	HS.112745	HS.112782	HS.112789	HS.112791	HS.112825	HS.112880	HS.112893	HS.112932	HS.112954	HS.112955	HS.112970	HS.113139	HS.113170	HS.113577	HS.114035	HS.114070	HS.114076	HS.114286	HS.114322	HS.114449	HS.114761	HS.1149	HS.115881	HS.116006	HS.116120	HS.116129	HS.116134	HS.116141	HS.116147	HS.116153	HS.116157	HS.116161	HS.116179	HS.116182	HS.116199	HS.116279	HS.116283	HS.116299	HS.116301	HS.116308	HS.116323	HS.116324	HS.116333	HS.116405	HS.116424	HS.116425	HS.116473	HS.116474	HS.116507	HS.116531	HS.116593	HS.116631	HS.116770	HS.116806	HS.116818	HS.116823	HS.116828	HS.116847	HS.116849	HS.116864	HS.116865	HS.116870	HS.116928	HS.116962	HS.117032	HS.117067	HS.117083	HS.117115	HS.117173	HS.117259	HS.117266	HS.117299	HS.117869	HS.117961	HS.118276	HS.118769	HS.119164	HS.119225	HS.119421	HS.119816	HS.119848	HS.119900	HS.119921	HS.119922	HS.119933	HS.119993	HS.120009	HS.120040	HS.120058	HS.120150	HS.120186	HS.120187	HS.120193	HS.120204	HS.120208	HS.120257	HS.120287	HS.120300	HS.120340	HS.120364	HS.120380	HS.120417	HS.120542	HS.120552	HS.120651	HS.120653	HS.120742	HS.120837	HS.120863	HS.120893	HS.120938	HS.121035	HS.121070	HS.121091	HS.121098	HS.121108	HS.121116	HS.121144	HS.121167	HS.121185	HS.121192	HS.121203	HS.121224	HS.121305	HS.121314	HS.121320	HS.121322	HS.121353	HS.121368	HS.121375	HS.121380	HS.121383	HS.121392	HS.121401	HS.121410	HS.121413	HS.121415	HS.121442	HS.121461	HS.121473	HS.121518	HS.121525	HS.121575	HS.121623	HS.121630	HS.121635	HS.121655	HS.121667	HS.121670	HS.121749	HS.121775	HS.121869	HS.121873	HS.122007	HS.122011	HS.122013	HS.122020	HS.122034	HS.122051	HS.122053	HS.122054	HS.122088	HS.122125	HS.122133	HS.122147	HS.122222	HS.122226	HS.122233	HS.122280	HS.122288	HS.122310	HS.122368	HS.122386	HS.122387	HS.122403	HS.122407	HS.122428	HS.122441	HS.122453	HS.122456	HS.12257	HS.122812	HS.122840	HS.122864	HS.12292	HS.122940	HS.122951	HS.122956	HS.122994	HS.123048	HS.123119	HS.123214	HS.123278	HS.123317	HS.123349	HS.123354	HS.123362	HS.123396	HS.123398	HS.123402	HS.123404	HS.123430	HS.123456	HS.123457	HS.123471	HS.123474	HS.123483	HS.123508	HS.123511	HS.123538	HS.123543	HS.123544	HS.123547	HS.123555	HS.123594	HS.124173	HS.124250	HS.124331	HS.124358	HS.124391	HS.12440	HS.124421	HS.124514	HS.124524	HS.124532	HS.124543	HS.124547	HS.124584	HS.124607	HS.124623	HS.124672	HS.12473	HS.124836	HS.124848	HS.12489	HS.125008	HS.125056	HS.125087	HS.12513	HS.125247	HS.125337	HS.12535	HS.125395	HS.125409	HS.125420	HS.125424	HS.125442	HS.125444	HS.125470	HS.125477	HS.12548	HS.125496	HS.125514	HS.125526	HS.125533	HS.125537	HS.125560	HS.125562	HS.125563	HS.125570	HS.125589	HS.125626	HS.12565	HS.125672	HS.125675	HS.125693	HS.125695	HS.125747	HS.125769	HS.125825	HS.125904	HS.125928	HS.125950	HS.125957	HS.125959	HS.125977	HS.125983	HS.126020	HS.126046	HS.126101	HS.126108	HS.126160	HS.126187	HS.126245	HS.126387	HS.126414	HS.126415	HS.126458	HS.126468	HS.126473	HS.126491	HS.126501	HS.126512	HS.126513	HS.126566	HS.126573	HS.126593	HS.126605	HS.126622	HS.126651	HS.126664	HS.126678	HS.12669	HS.126768	HS.126811	HS.126814	HS.126846	HS.126866	HS.126889	HS.126962	HS.126963	HS.126964	HS.126973	HS.127008	HS.127009	HS.127015	HS.127016	HS.127078	HS.127090	HS.127100	HS.127116	HS.127127	HS.127144	HS.127148	HS.127180	HS.127242	HS.127279	HS.127310	HS.127344	HS.127348	HS.127352	HS.127366	HS.127380	HS.127393	HS.127398	HS.127462	HS.127491	HS.127503	HS.127506	HS.127509	HS.127528	HS.127536	HS.127539	HS.127545	HS.127550	HS.127566	HS.12764	HS.127665	HS.127674	HS.127678	HS.127715	HS.127762	HS.127773	HS.127775	HS.127829	HS.127847	HS.127857	HS.127874	HS.127904	HS.127905	HS.127911	HS.127925	HS.127927	HS.127934	HS.127935	HS.127938	HS.127963	HS.12799	HS.127990	HS.127991	HS.127999	HS.128011	HS.128018	HS.128030	HS.128031	HS.128032	HS.128035	HS.128068	HS.128091	HS.128103	HS.128107	HS.128108	HS.128109	HS.128113	HS.128121	HS.128132	HS.128163	HS.128227	HS.128234	HS.128236	HS.128263	HS.128270	HS.128280	HS.128285	HS.128287	HS.128288	HS.128292	HS.128309	HS.128317	HS.128325	HS.128328	HS.128375	HS.128387	HS.128389	HS.128393	HS.128396	HS.128426	HS.128446	HS.128463	HS.128527	HS.128557	HS.128569	HS.128570	HS.128577	HS.128599	HS.128615	HS.128620	HS.128649	HS.128668	HS.128689	HS.128708	HS.128709	HS.128753	HS.12876	HS.128770	HS.128809	HS.128812	HS.128828	HS.128837	HS.128845	HS.1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.680879	5.951419	4.851601	5.449572	5.002164	5.050624	5.366519	6.072321	4.638507	5.982485	7.418414	5.919771	10.143947	4.746837	5.716958	5.408432	4.799662	4.582997	9.455509	11.848274	5.050624	6.584214	4.902660	5.887529	5.680879	4.902660	5.568481	5.002164	4.746837	5.408432	5.236041	5.716958	4.291818	5.002164	4.746837	4.582997	5.529585	6.968242	8.193918	7.375706	7.213431	5.280335	4.526584	5.236041	4.851601	5.098233	7.939355	4.469265	7.681181	8.411056	7.069340	10.174769	10.881318	9.999911	13.054432	12.285553	13.578981	7.846760	10.672693	5.366519	9.758393	10.947467	6.563678	6.663264	7.364793	4.902660	5.680879	5.236041	5.190932	5.280335	6.983191	10.118552	5.951419	7.439220	6.825010	4.638507	9.204978	7.556994	6.922294	8.347602	5.366519	6.101186	5.366519	6.314387	5.716958	9.398031	5.982485	5.982485	5.408432	5.919771	4.746837	8.327450	5.716958	5.190932	5.236041	6.584214	7.672719	5.919771	5.644116	6.874597	8.841079	8.546964	7.250024	5.680879	5.606654	7.297208	5.449572	4.799662	5.002164	7.027003	7.556994	6.314387	9.400373	9.364838	4.902660	5.144999	6.563678	5.529585	5.236041	6.184712	6.906596	7.499565	7.918575	5.098233	7.331461	6.211570	4.746837	8.724700	7.547613	8.401488	6.478200	6.314387	5.190932	6.184712	6.841758	8.342593	6.433337	4.799662	5.098233	5.190932	6.042924	5.236041	5.644116	4.526584	9.155666	5.568481	5.366519	7.547613	9.935567	5.787111	10.312344	8.776805	9.330864	5.366519	5.568481	6.072321	4.746837	6.808033	8.448656	8.391852	5.098233	8.538315	5.280335	7.681181	6.410343	5.144999	5.098233	5.568481	4.746837	5.002164	9.952303	6.101186	9.084124	10.991454	9.585249	7.428862	5.098233	5.606654	4.851601	5.280335	4.799662	5.002164	11.824994	5.050624	12.340766	5.280335	7.706224	10.028793	7.225747	5.568481	5.050624	5.236041	10.724546	7.418414	5.606654	5.489953	4.851601	5.752364	9.078238	7.123662	5.098233	4.952845	11.378381	5.489953	11.831045	6.012983	6.663264	7.602823	5.366519	6.643950	10.428365	8.238164	9.318531	4.952845	5.050624	5.489953	5.050624	5.236041	4.952845	5.002164	5.568481	5.280335	5.050624	6.072321	5.002164	5.680879	5.787111	6.584214	5.236041	5.787111	7.213431	7.439220	7.342672	8.396679	7.397247	6.521623	9.754652	7.706224	8.837584	10.596168	6.643950	6.663264	9.745264	8.572590	8.439354	8.248992	10.388646	7.519019	6.737724	8.118578	8.690149	7.875973	8.012788	7.375706	5.144999	5.951419	7.801638	7.069340	5.951419	6.968242	7.225747	5.002164	5.408432	8.391852	6.289353	5.190932	6.263879	5.050624	5.098233	5.982485	4.799662	4.902660	7.273839	4.351888	4.799662	7.069340	9.213027	5.982485	4.799662	5.323824	5.449572	7.925539	5.280335	13.042845	8.837584	10.098858	6.643950	7.528627	5.366519	8.176924	7.746869	9.752779	6.584214	6.997965	8.674514	4.902660	12.300400	5.280335	8.802151	9.662261	5.854681	5.644116	6.410343	4.952845	9.437355	4.851601	5.408432	5.002164	8.989998	6.682292	4.902660	5.280335	10.442971	8.555559	9.776972	4.693120	5.098233	8.118578	7.824400	6.937797	6.237955	5.787111	4.851601	10.567789	6.338993	5.716958	6.042924	7.911573	5.489953	5.449572	5.644116	7.200992	7.418414	6.042924	7.778458	8.720903	5.280335	7.083141	7.786232	4.902660	5.752364	8.012788	5.529585	5.098233	6.129531	6.338993	6.874597	7.646976	7.816859	6.755675	7.697933	4.952845	6.012983	6.682292	5.752364	5.951419	5.854681	8.429987	6.478200	7.831897	8.614265	5.606654	9.242142	9.191456	9.308587	5.787111	5.144999	4.582997	4.582997	5.236041	6.643950	8.654720	5.323824	7.083141	6.937797	5.280335	6.410343	7.439220	8.802151	5.236041	7.285578	4.799662	5.366519	7.556994	4.526584	8.773147	5.568481	5.752364	4.952845	4.411035	5.098233	5.366519	6.072321	6.643950	5.366519	6.129531	7.629507	5.144999	8.176924	5.716958	5.489953	4.851601	4.902660	5.190932	4.851601	5.568481	5.366519	5.280335	5.644116	4.799662	5.236041	4.799662	4.638507	10.342573	5.680879	5.190932	5.190932	4.851601	5.366519	4.693120	6.263879	4.168882	5.236041	6.157369	5.190932	10.057179	6.263879	5.190932	7.689585	5.050624	5.951419	9.236894	6.624342	5.098233	5.190932	5.489953	4.952845	4.902660	6.012983	5.366519	5.606654	5.680879	5.236041	4.952845	5.236041	5.489953	5.408432	4.799662	5.144999	5.408432	4.902660	4.351888	5.144999	4.526584	8.312131	7.055385	8.216232	7.979930	7.993174	4.638507	5.098233	5.408432	6.890698	6.314387	5.787111	5.752364	8.480715	4.902660	9.306089	5.821212	5.529585	8.210690	7.149970	4.902660	5.050624	5.002164	5.098233	4.582997	5.144999	5.280335	4.638507	10.489389	4.799662	5.002164	4.902660	5.098233	4.952845	5.098233	5.752364	10.992239	7.055385	5.002164	7.123662	4.799662	5.002164	4.902660	5.280335	5.098233	6.289353	4.469265	4.582997	4.952845	8.322364	4.952845	7.689585	9.953967	5.787111	11.153961	9.275766	8.124535	6.563678	7.096794	7.459674	6.263879	8.834080	6.701040	8.130464	5.752364	5.050624	7.714460	9.804461	6.563678	6.922294	7.175740	5.680879	8.701761	5.323824	4.952845	8.317257	7.055385	8.332517	9.138829	8.322364	10.863981	5.323824	5.568481	5.982485	7.793959	7.175740	7.890332	9.298571	7.681181	8.529610	6.790823	9.642346	7.083141	6.701040	8.905884	5.489953	5.002164	4.693120	8.367451	6.890698	6.338993	7.932466	8.312131	4.693120	9.412029	8.899201	5.098233	8.834080	6.072321	8.724700	8.327450	7.620678	10.404919	6.773372	9.519564	12.148204	11.821956	10.637614	8.286194	7.499565	5.236041	4.582997	8.471633	10.962042	4.693120	5.190932	5.408432	5.821212	10.411128	5.190932	4.638507	6.874597	8.227245	7.449491	4.902660	5.098233	5.680879	4.902660	8.701761	7.123662	5.098233	9.027187	6.906596	5.529585	5.190932	5.644116	5.408432	8.593585	6.682292	4.411035	5.752364	5.489953	9.402712	7.566301	6.012983	8.221750	5.449572	6.263879	7.250024	8.858424	7.469772	6.755675	4.902660	4.693120	5.919771	5.854681	6.386961	6.410343	5.716958	4.746837	6.157369	5.644116	5.854681	7.499565	6.338993	8.188279	8.646723	7.012568	6.184712	7.966547	5.050624	6.042924	7.459674	5.144999	9.215700	5.489953	6.386961	4.638507	4.230819	7.883173	5.366519	8.415814	5.236041	9.566458	6.841758	5.280335	5.280335	5.821212	7.489717	6.808033	7.890332	6.101186	6.386961	5.821212	6.874597	7.459674	5.098233	6.563678	6.314387	6.825010	5.787111	8.630589	7.547613	6.737724	5.752364	5.919771	5.002164	5.449572	5.002164	5.489953	6.410343	7.846760	5.236041	8.306985	8.601894	9.172300	10.085083	8.798558	6.542818	7.973256	6.663264	7.342672	7.816859	8.088365	8.100536	11.522952	7.993174	5.050624	4.746837	5.280335	7.664198	4.851601	5.236041	11.571717	5.323824	4.638507	7.136885	6.072321	5.050624	7.519019	5.002164	9.973812	9.280867	7.149970	6.386961	4.638507	5.489953	5.606654	5.489953	6.825010	7.556994	9.407378	4.526584	6.890698	6.101186	6.737724	9.169541	5.982485	5.323824	5.887529	6.719515	7.584701	9.745264	8.964647	8.498699	5.144999	5.323824	5.236041	5.323824	6.737724	5.716958	8.193918	6.825010	5.449572	5.190932	4.582997	5.366519	5.144999	5.887529	5.568481	4.411035	5.366519	7.459674	6.184712	6.338993	5.323824	4.952845	8.489737	9.737715	7.027003	10.751610	7.175740	10.293633	6.701040	6.701040	5.050624	7.083141	5.606654	7.499565	5.489953	9.092905	5.716958	5.449572	5.787111	7.297208	6.737724	6.289353	4.851601	5.449572	5.323824	4.582997	4.469265	6.072321	5.366519	5.144999	4.638507	5.449572	6.410343	7.069340	6.521623	5.489953	5.787111	5.236041	9.437355	5.449572	4.693120	5.787111	7.528627	7.331461	8.929028	5.951419	5.050624	4.799662	6.363181	7.083141	5.752364	5.529585	5.050624	7.584701	5.821212	6.478200	6.719515	6.338993	4.799662	6.682292	5.644116	5.280335	5.821212	6.101186	7.620678	5.408432	5.098233	7.297208	6.825010	5.529585	5.951419	6.363181	6.237955	5.323824	6.338993	5.752364	9.234263	5.002164	7.213431	6.858285	6.773372	5.002164	4.851601	6.314387	7.200992	8.747268	4.952845	5.529585	8.280944	5.644116	5.606654	6.042924	5.568481	4.693120	6.072321	6.101186	5.951419	5.887529	6.363181	5.716958	5.644116	5.644116	6.072321	5.098233	6.211570	8.739786	6.101186	5.190932	5.236041	5.190932	7.689585	4.693120	7.069340	6.663264	7.136885	7.439220	5.887529	6.263879	4.230819	5.280335	7.397247	5.323824	7.547613	7.096794	4.799662	8.182614	5.144999	5.050624	4.746837	5.787111	6.338993	7.123662	7.237944	5.606654	5.190932	7.083141	5.644116	5.919771	4.902660	7.407876	7.083141	5.190932	5.280335	6.663264	5.366519	8.088365	5.408432	5.144999	9.448727	7.285578	6.643950	7.428862	7.200992	5.529585	5.489953	5.680879	5.098233	6.289353	6.314387	5.098233	4.902660	7.646976	10.145428	6.263879	5.323824	5.408432	5.144999	7.096794	5.887529	6.521623	6.719515	5.951419	4.638507	5.236041	5.280335	5.568481	6.997965	6.129531	5.821212	5.190932	4.799662	9.158452	8.507603	9.884340	5.098233	6.263879	4.851601	4.902660	4.799662	6.042924	5.854681	6.012983	4.799662	6.500087	4.638507	8.827047	8.411056	5.366519	5.449572	5.982485	5.951419	7.027003	5.644116	5.190932	5.002164	7.285578	5.568481	7.861451	6.101186	5.449572	5.982485	7.110300	5.098233	5.854681	5.366519	7.273839	9.069363	5.050624	5.280335	10.464592	5.529585	5.680879	6.338993	6.682292	4.851601	7.213431	6.263879	5.323824	5.002164	4.902660	5.919771	6.012983	6.101186	4.638507	6.237955	5.190932	6.338993	6.410343	5.236041	4.851601	5.982485	4.799662	8.709449	7.162921	5.098233	4.952845	5.787111	6.584214	6.101186	5.408432	4.351888	6.237955	6.289353	6.237955	4.952845	11.629747	5.144999	5.002164	5.449572	5.408432	5.050624	4.411035	5.098233	6.237955	4.902660	5.644116	7.083141	5.190932	5.366519	5.887529	8.823517	7.993174	6.363181	6.042924	6.386961	5.236041	5.366519	6.563678	8.312131	5.050624	5.787111	7.407876	5.408432	5.323824	4.902660	5.408432	7.939355	5.449572	7.547613	6.237955	6.237955	5.821212	5.752364	5.366519	5.366519	7.566301	4.746837	4.693120	7.123662	10.663500	5.821212	4.952845	4.902660	4.526584	5.144999	5.002164	5.050624	5.951419	6.584214	7.308731	5.098233	5.787111	7.331461	5.280335	7.556994	6.314387	5.366519	5.408432	5.144999	4.902660	5.408432	5.716958	5.716958	4.638507	7.342672	5.449572	4.746837	6.521623	7.489717	4.851601	5.408432	5.951419	7.479786	4.230819	5.449572	6.433337	4.746837	7.149970	4.952845	6.101186	4.693120	8.642707	6.624342	4.952845	4.746837	5.050624	7.861451	4.851601	5.854681	6.500087	5.951419	5.366519	5.752364	6.755675	4.693120	5.144999	6.663264	7.449491	7.778458	6.433337	5.951419	4.526584	4.952845	7.407876	10.270591	5.144999	4.799662	5.366519	5.982485	7.237944	4.952845	6.012983	5.644116	5.236041	6.563678	5.449572	5.144999	6.289353	4.851601	5.408432	4.952845	6.737724	8.498699	9.014899	7.331461	5.529585	6.129531	5.489953	5.408432	5.919771	5.366519	5.236041	5.236041	4.291818	5.716958	7.364793	6.072321	5.489953	6.922294	9.130333	5.050624	4.746837	4.851601	3.911552	4.693120	6.129531	5.190932	8.415814	5.190932	6.563678	5.606654	6.237955	7.188429	9.499968	5.408432	6.737724	5.280335	5.529585	5.680879	7.069340	4.411035	6.906596	5.098233	6.101186	4.952845	5.408432	5.002164	4.902660	6.906596	5.280335	5.002164	5.190932	8.118578	4.693120	4.693120	5.190932	4.746837	4.952845	5.366519	5.568481	7.638273	5.606654	5.887529	7.489717	5.568481	5.190932	6.521623	5.098233	6.129531	6.542818	6.755675	5.190932	5.568481	4.693120	4.952845	4.799662	6.858285	4.638507	6.682292	7.875973	5.050624	6.983191	6.890698	5.489953	5.680879	5.787111	5.787111	5.002164	4.851601	5.408432	5.323824	5.951419	5.449572	8.367451	9.428195	6.101186	5.002164	6.663264	6.289353	5.050624	5.144999	5.529585	6.773372	5.190932	4.799662	6.042924	4.638507	4.582997	4.902660	6.890698	4.902660	6.129531	6.737724	4.526584	7.999745	7.778458	5.098233	6.157369	4.902660	5.050624	4.851601	6.072321	5.190932	4.799662	5.002164	5.280335	9.587323	5.366519	6.211570	5.489953	5.323824	8.367451	9.536778	5.887529	8.415814	7.449491	4.851601	5.002164	6.455953	5.002164	5.190932	4.902660	7.200992	4.582997	5.190932	4.799662	5.144999	7.499565	8.551269	5.144999	5.366519	4.952845	5.190932	6.773372	10.622887	5.821212	5.449572	6.719515	5.280335	5.098233	5.144999	6.682292	7.762763	5.190932	5.002164	6.584214	5.366519	7.925539	6.542818	8.439354	6.386961	5.144999	5.144999	6.410343	6.314387	4.952845	10.224833	9.457763	7.846760	7.861451

	0	1	2
0	0.457720	0.457720	-0.457720
1	0.006367	0.006367	-0.006367
2	-0.092297	-0.092297	0.092297
3	-0.162471	-0.162471	0.162471
4	-0.597543	-0.597543	0.597543
5	-0.132851	-0.132851	0.132851
6	-0.100077	-0.100077	0.100077
7	-0.290553	-0.290553	0.290553
8	-0.173757	-0.173757	0.173757
9	-0.007860	-0.007860	0.007860
10	-0.145377	-0.145377	0.145377
11	-0.143948	-0.143948	0.143948
12	-0.042688	-0.042688	0.042688
13	0.364984	0.364984	-0.364984

	disease_state_bin	data.hypertrophic cardiomyopathy (HCM).vs.all	data.Healthy.vs.all
MEblue	0.457720	0.457720	-0.457720
MEsalmon	0.006367	0.006367	-0.006367
MEblack	-0.092297	-0.092297	0.092297
MEmagenta	-0.162471	-0.162471	0.162471
MEyellow	-0.597543	-0.597543	0.597543
MEred	-0.132851	-0.132851	0.132851
MEgreen	-0.100077	-0.100077	0.100077
MEturquoise	-0.290553	-0.290553	0.290553
MEbrown	-0.173757	-0.173757	0.173757
MEgreenyellow	-0.007860	-0.007860	0.007860
MEpink	-0.145377	-0.145377	0.145377
MEpurple	-0.143948	-0.143948	0.143948
MEtan	-0.042688	-0.042688	0.042688
MEgrey	0.364984	0.364984	-0.364984

	title	geo_accession	disease_state	Sex	contact_city
GSM907203	653513_mRNA	GSM907203	hypertrophic cardiomyopathy (HCM)	male	Rochester
GSM907204	647527_mRNA	GSM907204	hypertrophic cardiomyopathy (HCM)	male	Rochester
GSM907205	634021_mRNA	GSM907205	hypertrophic cardiomyopathy (HCM)	female	Rochester
GSM907206	43_mRNA	GSM907206	hypertrophic cardiomyopathy (HCM)	male	Rochester
GSM907207	5059_mRNA	GSM907207	hypertrophic cardiomyopathy (HCM)	female	Rochester
GSM907208	2158_mRNA	GSM907208	hypertrophic cardiomyopathy (HCM)	male	Rochester
GSM907209	46_mRNA	GSM907209	hypertrophic cardiomyopathy (HCM)	male	Rochester
GSM907210	25_mRNA	GSM907210	hypertrophic cardiomyopathy (HCM)	female	Rochester
GSM907211	644621_mRNA	GSM907211	hypertrophic cardiomyopathy (HCM)	male	Rochester
GSM907212	R300305_mRNA	GSM907212	hypertrophic cardiomyopathy (HCM)	male	Rochester
GSM907213	44_mRNA	GSM907213	hypertrophic cardiomyopathy (HCM)	female	Rochester
GSM907214	0431840_mRNA	GSM907214	hypertrophic cardiomyopathy (HCM)	male	Rochester
GSM907215	653448_mRNA	GSM907215	hypertrophic cardiomyopathy (HCM)	female	Rochester
GSM907216	687046_mRNA	GSM907216	hypertrophic cardiomyopathy (HCM)	male	Rochester
GSM907217	670934_mRNA	GSM907217	hypertrophic cardiomyopathy (HCM)	male	Rochester
GSM907218	656880_mRNA	GSM907218	hypertrophic cardiomyopathy (HCM)	female	Rochester
GSM907219	4095_mRNA	GSM907219	hypertrophic cardiomyopathy (HCM)	male	Rochester
GSM907220	RR632698_mRNA	GSM907220	hypertrophic cardiomyopathy (HCM)	female	Rochester
GSM907221	676236_mRNA	GSM907221	hypertrophic cardiomyopathy (HCM)	male	Rochester
GSM907222	R32_mRNA	GSM907222	hypertrophic cardiomyopathy (HCM)	male	Rochester
GSM907223	3069_mRNA	GSM907223	hypertrophic cardiomyopathy (HCM)	male	Rochester
GSM907224	RNM08_mRNA	GSM907224	hypertrophic cardiomyopathy (HCM)	male	Rochester
GSM907225	587005_mRNA	GSM907225	hypertrophic cardiomyopathy (HCM)	female	Rochester
GSM907226	36_mRNA	GSM907226	hypertrophic cardiomyopathy (HCM)	female	Rochester
GSM907227	R40_mRNA	GSM907227	hypertrophic cardiomyopathy (HCM)	male	Rochester
GSM907229	12799_mRNA	GSM907229	hypertrophic cardiomyopathy (HCM)	female	Rochester
GSM907230	639123_mRNA	GSM907230	hypertrophic cardiomyopathy (HCM)	female	Rochester
GSM907231	R16_mRNA	GSM907231	hypertrophic cardiomyopathy (HCM)	female	Rochester
GSM907232	669841_mRNA	GSM907232	hypertrophic cardiomyopathy (HCM)	female	Rochester
GSM907233	45_mRNA	GSM907233	hypertrophic cardiomyopathy (HCM)	female	Rochester
GSM907234	1403_mRNA	GSM907234	hypertrophic cardiomyopathy (HCM)	male	Rochester
GSM907235	631132_mRNA	GSM907235	hypertrophic cardiomyopathy (HCM)	male	Rochester
GSM907236	39_mRNA	GSM907236	hypertrophic cardiomyopathy (HCM)	female	Rochester
GSM907237	666295_mRNA	GSM907237	hypertrophic cardiomyopathy (HCM)	male	Rochester
GSM907238	R50_mRNA	GSM907238	hypertrophic cardiomyopathy (HCM)	female	Rochester
GSM907239	680701_mRNA	GSM907239	hypertrophic cardiomyopathy (HCM)	male	Rochester
GSM907240	18_mRNA	GSM907240	hypertrophic cardiomyopathy (HCM)	male	Rochester
GSM907241	R1_mRNA	GSM907241	hypertrophic cardiomyopathy (HCM)	male	Rochester
GSM907242	A809126_mRNA	GSM907242	hypertrophic cardiomyopathy (HCM)	female	Rochester
GSM907244	683304_mRNA	GSM907244	hypertrophic cardiomyopathy (HCM)	male	Rochester